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Decision Makers (decision + maker)
Kinds of Decision Makers Terms modified by Decision Makers Selected AbstractsIN MEMORIUM: VIRGINIA F. DURR, AN INVISIBLE DECISION MAKER WHO CHANGED HER WORLDPOLITICS & POLICY, Issue 3 2000Lois Duke Whitaker No abstract is available for this article. [source] Representational Altruism: The Wary Cooperator as Authoritative Decision MakerAMERICAN JOURNAL OF POLITICAL SCIENCE, Issue 4 2006Kevin B. Smith What drives policymakers to put the interests of others above their own? If human nature is inherently selfish, it makes sense to institutionalize incentives that counter decision makers' temptations to use their positions to benefit themselves over others. A growing literature rooted in evolutionary theories of human behavior, however, suggests that humans, under certain circumstances, have inherent predispositions towards "representational altruism," i.e., to make an authoritative decision to benefit another at one's own expense. Drawing on Hibbing and Alford's conception of the wary cooperator, a theoretical case is made for such behavioral expectations, which are confirmed in a series of original laboratory experiments. [source] Multilevel Social Dynamics Considerations for Project Management Decision Makers: Antecedents and Implications of Group Member Tie DevelopmentDECISION SCIENCES, Issue 3 2010Elliot Bendoly ABSTRACT Successful projects represent the effective culmination of management skills, planning, and individual project member strengths. In operations management, such strengths are often viewed predominantly from the perspective of skill base. However, it has become increasingly evident that behavioral traits associated with individuals play a very significant, if not ultimately dominating, role in the effectiveness of certain group projects. Our aim in this study is to look into how certain individual attributes viewed as relevant to these project contexts may lead to social networking decisions that have impacts spanning multiple levels of analysis. Such insights are likely to prove valuable to decision makers managing project teams as well. We employ a controlled 4-month investigation of multiple projects, for which we are able to consider both objective, and subjective pre-, in situ, and postproject data. Our results demonstrate that the issues of perceived control, confidence, and conscientiousness are relevant not only in driving individual perceptions of the value of within-group interactions, and hence the development of associated ties, but are also ultimately relevant in helping to drive higher levels of group performance. [source] Decision Makers as Statisticians: Diversity, Ambiguity, and LearningECONOMETRICA, Issue 5 2009Nabil I. Al-Najjar I study individuals who use frequentist models to draw uniform inferences from independent and identically distributed data. The main contribution of this paper is to show that distinct models may be consistent with empirical evidence, even in the limit when data increases without bound. Decision makers may then hold different beliefs and interpret their environment differently even though they know each other's model and base their inferences on the same evidence. The behavior modeled here is that of rational individuals confronting an environment in which learning is hard, rather than individuals beset by cognitive limitations or behavioral biases. [source] Inclusive Achievement Testing for Linguistically and Culturally Diverse Test Takers: Essential Considerations for Test Developers and Decision MakersEDUCATIONAL MEASUREMENT: ISSUES AND PRACTICE, Issue 1 2009Shelley B. Fairbairn Substantial growth in the numbers of English language learners (ELLs) in the United States and Canada in recent years has significantly affected the educational systems of both countries. This article focuses on critical issues and concerns related to the assessment of ELLs in U.S. and Canadian schools and emphasizes assessment approaches for test developers and decision makers that will facilitate increased equity, meaningfulness, and accuracy in assessment and accountability efforts. It begins by examining the crucial issue of defining ELLs as a group. Next, it examines the impact of testing originating from the No Child Left Behind Act of 2001 (NCLB) in the U.S. and government-mandated standards-driven testing in Canada by briefly describing each country's respective legislated testing requirements and outlining their consequences at several levels. Finally, the authors identify key points that test developers and decision makers in both contexts should consider in testing this ever-increasing group of students. [source] Training Decision Makers , Tactical Decision GamesJOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT, Issue 4 2000Margaret T. Crichton There is growing recognition of the need to train non-technical skills, especially decision making, for emergency management in high reliability industries as well as in contained environments such as prisons. This article presents a training method, Tactical Decision Games, which appears to provide a good opportunity to practise the non-technical skills that would be required in the management of an emergency situation. Case studies from the UK nuclear power industry and the Scottish Prison Service (SPS) illustrate the adaptability and general application of TDGs for training of emergency response teams in a range of operational settings. [source] How Can Research Organizations More Effectively Transfer Research Knowledge to Decision Makers?THE MILBANK QUARTERLY, Issue 2 2003JOHN N. LAVIS Applied research organizations invest a great deal of time, and research funders invest a great deal of money generating and (one hopes) transferring research knowledge that could inform decisions about health and health care. Basing these knowledge-transfer activities on our evolving understanding of the most effective approaches to knowledge transfer will help us achieve value for money in our individual and collective investments in health services and health policy research. Research organizations and research funders can probably be excused for not basing their activities on research evidence until now, however, because the variety of relevant questions, target audiences, and disciplinary perspectives and methodological approaches used in empirical studies has made the identification of take-home messages from this field of research a very difficult task. We provide an organizing framework for a knowledge-transfer strategy and an overview of our understanding of the current knowledge for each of the five elements of the framework. The framework provides an overall approach to knowledge transfer that can be evaluated as a whole over long periods of time, as well as specific elements that can be evaluated and fine-tuned over shorter periods of time. [source] A Methodology for Assessing Transportation Network Terrorism Risk with Attacker and Defender InteractionsCOMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, Issue 6 2010Pamela M. Murray-Tuite Decision makers need a methodology that can capture the complex attacker,defender interactions and help them understand the overall effects on the transportation system, as well as the consequences of asset failure. This article presents such a methodology, which uses probabilities of target,attack method combinations that are degree of belief based and updated using Bayes' Theorem after evidence of the attack is obtained. Monte Carlo simulation generates the probability of link capacity effects by sampling from distributions of capacity reductions due to preevent security measures, substitutions, target failure, and postevent security measures. The average capacity reduction for a particular target,attack method combination serves as an input to the traffic assignment,simulation package DYNASMART-P to determine travel time effects. The methodology is applied to a sample network based on the northern Virginia area. Results based on notional data indicated that preevent security measures reduced attack probabilities, but in some cases increased the mobility consequences. Thus, decision makers must carefully evaluate the effects of their decisions. [source] Decision Makers as Statisticians: Diversity, Ambiguity, and LearningECONOMETRICA, Issue 5 2009Nabil I. Al-Najjar I study individuals who use frequentist models to draw uniform inferences from independent and identically distributed data. The main contribution of this paper is to show that distinct models may be consistent with empirical evidence, even in the limit when data increases without bound. Decision makers may then hold different beliefs and interpret their environment differently even though they know each other's model and base their inferences on the same evidence. The behavior modeled here is that of rational individuals confronting an environment in which learning is hard, rather than individuals beset by cognitive limitations or behavioral biases. [source] A Tale of Two Solitudes: Comparing Conflict and Development-induced Internal Displacement and Involuntary ResettlementINTERNATIONAL MIGRATION, Issue 5 2003Robert Muggah Development projects and war regularly lead to the internal displacement and involuntary resettlement of tens of millions of people each year. Though most "internally displaced people" settle spontaneously, a significant proportion is involuntarily resettled into planned "camps" and "settlements". This article is primarily concerned with a relatively understudied category of forced migration studies: resettlement. It contends that until very recently, the theory, policy, and practice of resettlement for people internally displaced by development and war have been treated as intellectually and practically exclusive. Decision makers and scholars working on the subject are frequently beholden to narrow disciplinary and bureaucratic interests and are unable or unwilling to look across institutional boundaries. As a result, policies and programmes intended to resettle populations have been clustered into two discrete (and disparate) narratives. Each of these draw from distinct normative moorings, government and non-governmental interpretations of "success" and "failure" and a division of labour closely tailored to the disciplines and expertise of those in the development and humanitarian communities. Though arising from separate traditions and conceived exclusively by donors, policy makers, and scholars, this article contends that they actually share many common features. Drawing on a vast and rapidly growing literature, this article seeks to frame the key debates on development and war-induced internal displacement and resettlement. It begins with an overview of definitional issues , including "internal displacement" and "resettlement", two concepts that are regularly contested and misunderstood. The article observes that the Guiding Principles on Internal Displacement have, to some extent, clarified the rights of development and conflict-induced internally displaced people, as well as the responsibilities of states. It notes that in practice, however, resettlement of both types of populations is treated separately. The article then turns to a number of seminal theoretical contributions to the study of development and conflict-induced internal displacement and involuntary resettlement (DIDR and CIDR, respectively). The article highlights their separate evolution in theory and practice over time. It closes with a brief treatment of some of the common features of DIDR and CIDR, including their political economy, their institutional and bureaucratic logic, and similar patterns of impoverishment risks. [source] Linking reductionist science and holistic policy using systematic reviews: unpacking environmental policy questions to construct an evidence-based frameworkJOURNAL OF APPLIED ECOLOGY, Issue 5 2009Andrew S. Pullin Summary 1. There is a mismatch between broad holistic questions typically posed in policy formation and narrow reductionist questions that are susceptible to scientific method. This inhibits the two-way flow of information at the science-policy interface and weakens the impact of applied ecology on environmental policy. 2. We investigate the approaches to building policy in the health services as a model to help establish a framework in applied ecology and environmental management by which reductionist science can underpin decision making at the policy level. 3. A comparison of policy documents in the health and environmental sectors reveals many similarities in identifying approaches and specific interventions that might achieve policy objectives. The difference is that in the health services, information on the effectiveness of potential interventions is far more readily available through the collaborative process of systematic review. 4.Synthesis and applications. Decision makers are increasingly looking to produce policies that are shaped by evidence through evidence-based policy making. The approach that we outline here provides a framework for structuring systematic reviews to deliver the evidence on key policy issues in a way that will see a faster return and provide better use of the systematic review methodology in environmental management. [source] The relative influence of advice from human experts and statistical methods on forecast adjustmentsJOURNAL OF BEHAVIORAL DECISION MAKING, Issue 4 2009Dilek Önkal Abstract Decision makers and forecasters often receive advice from different sources including human experts and statistical methods. This research examines, in the context of stock price forecasting, how the apparent source of the advice affects the attention that is paid to it when the mode of delivery of the advice is identical for both sources. In Study 1, two groups of participants were given the same advised point and interval forecasts. One group was told that these were the advice of a human expert and the other that they were generated by a statistical forecasting method. The participants were then asked to adjust forecasts they had previously made in light of this advice. While in both cases the advice led to improved point forecast accuracy and better calibration of the prediction intervals, the advice which apparently emanated from a statistical method was discounted much more severely. In Study 2, participants were provided with advice from two sources. When the participants were told that both sources were either human experts or both were statistical methods, the apparent statistical-based advice had the same influence on the adjusted estimates as the advice that appeared to come from a human expert. However when the apparent sources of advice were different, much greater attention was paid to the advice that apparently came from a human expert. Theories of advice utilization are used to identify why the advice of a human expert is likely to be preferred to advice from a statistical method. Copyright © 2009 John Wiley & Sons, Ltd. [source] Improving judgement with prepaid expert adviceJOURNAL OF BEHAVIORAL DECISION MAKING, Issue 3 2004Janet A. Sniezek Abstract Decision makers ("Judges") often make decisions after obtaining advice from an Advisor. The two parties often share a psychological "contract" about what each contributes in expertise to the decision and receives in monetary outcomes from it. In a laboratory experiment, we varied Advisor Experitise and the opportunity for monetary rewards. As expected, these manipulations influenced advice quality, advice taking, and Judge post-advice decision quality. The main contribution of the study, however, was the manipulation of the timing of monetary rewards (before or after the advising interaction). We found, as predicted, that committing money for expert,but not novice,advice increases Judges' use of advice and their subsequent estimation accuracy. Implications for advice giving and taking are discussed. Copyright © 2004 John Wiley & Sons, Ltd. [source] ISO 14001 EMS standard registration decisions among Canadian organizationsAGRIBUSINESS : AN INTERNATIONAL JOURNAL, Issue 4 2003Emmanuel K. Yiridoe This study characterized the costs and benefits associated with adopting ISO 14001 environmental management system (EMS) standard, based on a survey of ISO 14001-registered organizations in Canada. Decision makers are contemplating whether it is necessary to register to one or more of the ISO and other international standards and, if so, which ones. Furthermore, an organization that has registered separate departments to different standards and contemplates integrating such standards across the different units may be interested in attributes of particular units that will facilitate integration. Discriminant analysis was conducted to characterize the factors that distinguish between organizations that adopted ISO 14001 alone (single standard), versus those that registered to ISO 14001 along with other quality, health, and safety standards (i.e., multiple standards). The most important factor that motivated adoption to ISO 14001 was to establish a positive environmental profile, thereby promoting goodwill and integrity. Internal factors tended to dominate the motivations for adopting ISO 14001, supporting the hypothesis that external benefits may not be fully realized due to market and policy failure. Internal costs associated with registration depended on the size of the organization and ranged, on average, from CND$17,000 (for organizations with less than 100 employees), to CND$42,000 (for organizations with more than 500 employees). External costs depended more on the type (i.e., sector of the Canadian economy) than on size of the organization. The most important variable that distinguished between Canadian organizations that adopted ISO 14001 alone versus those that adopted ISO 14001 and other standards was whether the organization had an international orientation, that is, those with more than 50% of services or exports to other countries. [EconLit citations: L150, L200, Q290]. © 2003 Wiley Periodicals, Inc. Agribusiness 19: 439,457, 2003. [source] Managing biodiversity data within the context of climate change: towards best practiceAUSTRAL ECOLOGY, Issue 4 2010PAUL GIOIA Abstract Decision makers, planners and researchers have identified the need to assess the effects of climate change on biodiversity, resulting in extensive research across a number of fields. The availability of comprehensive, accurate and relevant data is central to undertaking effective research. However, the quality and availability of biodiversity information is substantially determined by current and historical data collection strategies. If researchers and planners are to make effective use of existing and future investments in biodiversity information, a strategic approach should be taken in identifying and implementing best practice information management. This paper discusses ways to improve institutional support for information management and increase the availability of quality information. The paper reviews the most common areas of climate change and biodiversity research, and identifies best practices in information management, focusing on data used within biodiversity and climate change analyses. [source] Decision Making with Uncertain Judgments: A Stochastic Formulation of the Analytic Hierarchy Process*DECISION SCIENCES, Issue 3 2003Eugene D. Hahn ABSTRACT In the analytic hierarchy process (AHP), priorities are derived via a deterministic method, the eigenvalue decomposition. However, judgments may be subject to error. A stochastic characterization of the pairwise comparison judgment task is provided and statistical models are introduced for deriving the underlying priorities. Specifically, a weighted hierarchical multinomial logit model is used to obtain the priorities. Inference is then conducted from the Bayesian viewpoint using Markov chain Monte Carlo methods. The stochastic methods are found to give results that are congruent with those of the eigenvector method in matrices of different sizes and different levels of inconsistency. Moreover, inferential statements can be made about the priorities when the stochastic approach is adopted, and these statements may be of considerable value to a decision maker. The methods described are fully compatible with judgments from the standard version of AHP and can be used to construct a stochastic formulation of it. [source] Quantitative Comparison of Approximate Solution Sets for Bi-criteria Optimization Problems,DECISION SCIENCES, Issue 1 2003W. Matthew Carlyle ABSTRACT We present the Integrated Preference Functional (IPF) for comparing the quality of proposed sets of near-pareto-optimal solutions to bi-criteria optimization problems. Evaluating the quality of such solution sets is one of the key issues in developing and comparing heuristics for multiple objective combinatorial optimization problems. The IPF is a set functional that, given a weight density function provided by a decision maker and a discrete set of solutions for a particular problem, assigns a numerical value to that solution set. This value can be used to compare the quality of different sets of solutions, and therefore provides a robust, quantitative approach for comparing different heuristic, a posteriori solution procedures for difficult multiple objective optimization problems. We provide specific examples of decision maker preference functions and illustrate the calculation of the resulting IPF for specific solution sets and a simple family of combined objectives. [source] Post-earthquake bridge repair cost and repair time estimation methodologyEARTHQUAKE ENGINEERING AND STRUCTURAL DYNAMICS, Issue 3 2010Kevin R. Mackie Abstract While structural engineers have traditionally focused on individual components (bridges, for example) of transportation networks for design, retrofit, and analysis, it has become increasingly apparent that the economic costs to society after extreme earthquake events are caused at least as much from indirect costs as direct costs due to individual structures. This paper describes an improved methodology for developing probabilistic estimates of repair costs and repair times that can be used for evaluating the performance of new bridge design options and existing bridges in preparation for the next major earthquake. The proposed approach in this paper is an improvement on previous bridge loss modeling studies,it is based on the local linearization of the dependence between repair quantities and damage states so that the resulting model follows a linear relationship between damage states and repair points. The methodology uses the concept of performance groups (PGs) that account for damage and repair of individual bridge components and subassemblies. The method is validated using two simple examples that compare the proposed method to simulation and previous methods based on loss models using a power,law relationship between repair quantities and damage. In addition, an illustration of the method is provided for a complete study on the performance of a common five-span overpass bridge structure in California. Intensity-dependent repair cost ratios (RCRs) and repair times are calculated using the proposed approach, as well as plots that show the disaggregation of repair cost by repair quantity and by PG. This provides the decision maker with a higher fidelity of data when evaluating the contribution of different bridge components to the performance of the bridge system, where performance is evaluated in terms of repair costs and repair times rather than traditional engineering quantities such as displacements and stresses. Copyright © 2009 John Wiley & Sons, Ltd. [source] Optimal seismic design of steel frame buildings based on life cycle cost considerationsEARTHQUAKE ENGINEERING AND STRUCTURAL DYNAMICS, Issue 9 2003Min Liu Abstract A multi-objective optimization procedure is presented for designing steel moment resisting frame buildings within a performance-based seismic design framework. Life cycle costs are considered by treating the initial material costs and lifetime seismic damage costs as two separate objectives. Practical design/construction complexity, important but difficult to be included in initial cost analysis, is taken into due account by a proposed diversity index as another objective. Structural members are selected from a database of commercially available wide flange steel sections. Current seismic design criteria (AISC-LRFD seismic provisions and 1997 NEHRP provisions) are used to check the validity of any design alternative. Seismic performance, in terms of the maximum inter-storey drift ratio, of a code-verified design is evaluated using an equivalent single-degree-of-freedom system obtained through a static pushover analysis of the original multi-degree-of-freedom frame building. A simple genetic algorithm code is used to find a Pareto optimal design set. A numerical example of designing a five-storey perimeter steel frame building is provided using the proposed procedure. It is found that a wide range of valid design alternatives exists, from which a decision maker selects the one that balances different objectives in the most preferred way. Copyright © 2003 John Wiley & Sons, Ltd. [source] Probabilities as Similarity-Weighted FrequenciesECONOMETRICA, Issue 4 2005Antoine Billot A decision maker is asked to express her beliefs by assigning probabilities to certain possible states. We focus on the relationship between her database and her beliefs. We show that if beliefs given a union of two databases are a convex combination of beliefs given each of the databases, the belief formation process follows a simple formula: beliefs are a similarity-weighted average of the beliefs induced by each past case. [source] Expedient and Monotone Learning RulesECONOMETRICA, Issue 2 2004Tilman Börgers This paper considers learning rules for environments in which little prior and feedback information is available to the decision maker. Two properties of such learning rules are studied: absolute expediency and monotonicity. Both require that some aspect of the decision maker's performance improves from the current period to the next. The paper provides some necessary, and some sufficient conditions for these properties. It turns out that there is a large variety of learning rules that have the properties. However, all learning rules that have these properties are related to the replicator dynamics of evolutionary game theory. For the case in which there are only two actions, it is shown that one of the absolutely expedient learning rules dominates all others. [source] Testing for trends in the violation frequency of an environmental threshold in riversENVIRONMETRICS, Issue 1 2009Lieven Clement Abstract Nutrient pollution in rivers is a common problem. It can provoke algae blooms which are related to increased fish mortality. To restore the water status, the regulator recently has promulgated more restrictive regulations. In Flanders for instance, the government has introduced several manure decrees (MDs) to restrict nutrient pollution. Environmental regulations are commonly expressed in terms of threshold levels. This provides a binary response to the decision maker. To handle such data, we propose the use of marginalised generalised linear mixed models. They provide valid inference on trends in the exceedance frequency. The spatio-temporal dependence of the river monitoring network is incorporated by the use of a latent variable. The temporal dependence is assumed to be AR(1) and the spatial dependence is derived from the river topology. The mean model contains a term for the trend and corrects for seasonal variation. The model formulation allows an assessment on the level of individual sampling locations and on a more regional scale. The methodology is applied to a case study on the river Yzer (Flanders). It assesses the impact of the MDs on the violation probability of the nitrate standard. A trend change is detected after the introduction of the second MD. Copyright © 2008 John Wiley & Sons, Ltd. [source] Managing the Unique Size-related Issues of Pediatric Resuscitation: Reducing Cognitive Load with Resuscitation AidsACADEMIC EMERGENCY MEDICINE, Issue 8 2002Robert Luten MD Abstract A resuscitation is a complicated event that requires for its optimal outcome the effective completion of a distinct series of actions, some simple, some complex, most occurring simultaneously or in close proximity. In children, these actions are determined not only by the clinical situation, but also by a series of age and size factors particular to each child. Different tasks require different levels of cognitive load, or mental effort. Cognitive load describes the mental burden experienced by the decision maker and will be higher when the task is less familiar or more demanding. In the setting of resuscitation, it refers to the cumulative demands of patient assessment, the ongoing decisions for each of the various steps, and decisions around procedural intervention (e.g., intubation). In children, the level of task complexity and, hence, cognitive load is increased by the unique component of variability of pediatric age and size, introducing logistical factors, many of which involve computations. The purpose of this paper is to examine the effects of age/size-related variables on the pediatric resuscitative process and to explore how these effects can be mitigated using resuscitation aids. The concept of cognitive load and its relation to performance in resuscitation is introduced and is used to demonstrate the effect of the various aids in the pediatric resuscitative process. [source] Is NF-,B from astrocytes a decision maker of neuronal life or death? (Commentary on Dvoriantchikova et al.)EUROPEAN JOURNAL OF NEUROSCIENCE, Issue 2 2009Nicolas G. BazanArticle first published online: 15 JUL 200 No abstract is available for this article. [source] Following START: Risk Acceptance and the 1991,1992 Presidential Nuclear InitiativesFOREIGN POLICY ANALYSIS, Issue 1 2008Matthew Fuhrmann In September 1991, U.S. President George H.W. Bush launched the Presidential Nuclear Initiatives (PNIs), which were unilateral measures that led to the largest reductions in the American and Soviet/Russian nuclear arsenals to date. Despite their eventual success, the United States took on significant risks in launching the PNIs. To uncover the best theoretical explanation for their onset, this article uses realism, neorealism, the bureaucratic politics model, expected utility theory, and prospect theory to generate ex ante predictions regarding nuclear arms control at the end of the Cold War. It then tests the theories' predictions against the empirical record. The results suggest that a focus on an individual decision maker,President Bush,is necessary to fully understand the PNIs and that an explanation rooted in prospect theory offers the most explanatory power. This study speaks to an important debate in discipline regarding the significance of individuals, while underscoring the value of exploring foreign policy decision making from multiple levels of analysis. It also advances the literatures on risk acceptance and prospect theory by shifting their applications away from militarized conflict and crises to diplomatic negotiations and cooperation. [source] Democracy and sustainable development,what is the alternative to cost,benefit analysis?INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, Issue 2 2006Peter Söderbaum Abstract Cost,benefit analysis (CBA) is part of neoclassical economics, a specific paradigm, or theoretical perspective. In searching for alternatives to CBA, competing theoretical frameworks in economics appear to be a natural starting point. Positional analysis (PA) as an alternative to CBA is built on institutional theory and a different set of assumptions about human beings, organizations, markets, etc. Sustainable development (SD) is a multidimensional concept that includes social and ecological dimensions in addition to monetary aspects. If the political commitment to SD in the European Union and elsewhere is taken seriously, then approaches to decision making should be chosen that 1st open the door for multidimensional analysis rather than close it. Sustainable development suggests a direction for development in a broad sense but is still open to different interpretations. Each such interpretation is political in kind, and a 2nd criterion for judging different approaches is whether they are ideologically open rather than closed. Although methods for decision making have traditionally been connected with mathematical objective functions and optimization, the purpose of PA is to illuminate a decision situation in a many-sided way with respect to possibly relevant ideological orientations, alternatives, and consequences. Decisions are understood in terms of matching the ideological orientation of each decision maker with the expected effects profile of each alternative considered. Appropriateness and pattern recognition are other concepts in understanding this process. [source] Least-squared ordered weighted averaging operator weightsINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 1 2008Byeong Seok Ahn The ordered weighted averaging (OWA) operator by Yager (IEEE Trans Syst Man Cybern 1988; 18; 183,190) has received much more attention since its appearance. One key point in the OWA operator is to determine its associated weights. Among numerous methods that have appeared in the literature, we notice the maximum entropy OWA (MEOWA) weights that are determined by taking into account two appealing measures characterizing the OWA weights. Instead of maximizing the entropy in the formulation for determining the MEOWA weights, a new method in the paper tries to obtain the OWA weights that are evenly spread out around equal weights as much as possible while strictly satisfying the orness value provided in the program. This consideration leads to the least-squared OWA (LSOWA) weighting method in which the program is to obtain the weights that minimize the sum of deviations from the equal weights since entropy is maximized when all the weights are equal. Above all, the LSOWA method allocates the positive and negative portions to the equal weights that are identical but opposite in sign from the middle point in the number of criteria. Furthermore, interval LSOWA weights can be constructed when a decision maker specifies his or her orness value in uncertain numerical bounds and we present a method, with those uncertain interval LSOWA weights, for prioritizing alternatives that are evaluated by multiple criteria. © 2008 Wiley Periodicals, Inc. [source] Growing decision trees in an ordinal settingINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 7 2003Kim Cao-Van Although ranking (ordinal classification/regression) based on criteria is related closely to classification based on attributes, the development of methods for learning a ranking on the basis of data is lagging far behind that for learning a classification. Most of the work being done focuses on maintaining monotonicity (sometimes even only on the training set). We argue that in doing so, an essential aspect is mostly disregarded, namely, the importance of the role of the decision maker who decides about the acceptability of the generated rule base. Certainly, in ranking problems, there are more factors besides accuracy that play an important role. In this article, we turn to the field of multicriteria decision aid (MCDA) in order to cope with the aforementioned problems. We show that by a proper definition of the notion of partial dominance, it is possible to avoid the counter-intuitive outcomes of classification algorithms when applied to ranking problems. We focus on tree-based approaches and explain how the tree expansion can be guided by the principle of partial dominance preservation, and how the resulting rule base can be graphically represented and further refined. © 2003 Wiley Periodicals, Inc. [source] Ranking projects for an electricity utility using ELECTRE IIIINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, Issue 4 2007John Buchanan Abstract Ranking and selecting projects is a common yet often difficult task with typically more than one dimension for measuring project impacts and more than one decision maker. We describe a project selection methodology developed and used since 1998 for Mighty River Power, a New Zealand electricity generator, which incorporates the ELECTRE III decision support tool. Although several other multiple criteria approaches could have been used, features of ELECTRE III such as outranking, and indifference and preference thresholds were well received by our decision makers. More than the use of a specific decision support tool, we focus particularly on the successful implementation of a simple, structured multicriteria methodology for a yearly project selection exercise and document this over 8 years in a changing managerial context. [source] Children's Moral Evaluations of Ecological Damage: The Effect of Biocentric and Anthropocentric Intentions,JOURNAL OF APPLIED SOCIAL PSYCHOLOGY, Issue 8 2009Katherine V. Kortenkamp Moral evaluations of ecologically damaging events were studied in 5th, 8th, and 11th graders and college students (N = 246). Participants made 4 kinds of judgments about 2 scenarios: decision rightness, damage rightness, blame of the decision maker, and blame of the agents causing the damage. In both scenarios, the decision maker's intentions varied (biocentric vs. anthropocentric) as did the damage severity. Overall, participants' judgments were less harsh when the decision maker had biocentric intentions and when the damage was less severe. However, there were age differences in use of intentions to judge decision rightness. The proposition that judgments of blame of the decision maker should be a joint function of decision and damage rightness was also supported. [source] | ||||||||||||||||||||||||||||||||||||||||||||||||||||