摘要:

AbstractStochastic dominance concerns conditions on outcome probabilities that are necessary and sufficient for one act to be (strictly) preferred to another according to all preference relations that share certain properties, one of which customarily is an Archimedean property sufficient to entail existence of real‐valued representations. We relax this assumption to permit linear lexicographic utility of finite and known dimensionality. In some situations, levels of the lexicographic hierarchy could correspond to explicit criteria or attributes. In our model, subjective probabilities emerge as matrix premultipliers of the outcome utility vectors. We thus obtain matrix probability generalizations of the familiar cumulative probability conditions for stochastic dominanc

ISSN:1057-9214    

DOI:10.1002/mcda.4020040202

出版商:John Wiley&Sons, Ltd.    

年代:1995

数据来源: WILEY

摘要:

AbstractAn adaptive approach for modelling individual‐level choice among multiattribute alternatives using the binary logit model is presented. The algorithm involves the collection of paired comparison data. In an effort to maximize the amount of information obtainable from each response, it is based on the experimental design criterion of D‐optimality. A simulation study indicates that the proposed algorithm outperforms other sequential selection approaches in terms of estimation accuracy and predictive efficiency under certain circumstances. The results appear to encourage the use of such an adaptive algorithm for individual‐level modelling in light of the potential reduction in data requirements without significant loss in predictive acc

ISSN:1057-9214    

DOI:10.1002/mcda.4020040203

出版商:John Wiley&Sons, Ltd.    

年代:1995

数据来源: WILEY

摘要:

AbstractThis paper describes an experiment in decision making under certainty with multiple, conflicting objectives and continuous decision variables. Two techniques for analysing such problems are considered: one taken from the paradigm of multicriteria decision making (MCDM), a non‐directed approach called the NAIVE technique, and one from the paradigm of multiattribute decision analysis (D/A), the SMART technique. While the two techniques seek and are throught to arrive at the same end—a solution which is in some sense optimal for the decision maker (DM)—the former approachimplicitlyincorporates DM preferences while the latter approach considers preferencesexplicitly.The setting is a laboratory study using a sample of university students on a three‐criteria problem which is designed to study the extent to which value functions implied/assessed by the techniques are consistent with DMs' holistic ranking of alternatives. Results show that (1) the two techniques of interest show significantly better rank order correlation with holistic judgement compared with other techniques, (2) DMs prefer the non‐directed MCDM approach and (3) subjects break down into two groups: those that use assessable value functions when ranking and those that do not. This implies that for small‐dimensioned problems DMs may first need to be classified as to the assessability of their value functions before a solution metho

ISSN:1057-9214    

DOI:10.1002/mcda.4020040204

出版商:John Wiley&Sons, Ltd.    

年代:1995

数据来源: WILEY

摘要:

AbstractIn this paper we consider the generation of efficient solutions using weighting factor,qth‐power approaches for some non‐convex auxiliary function optimization forms. Algorithms are given for finding e‐optimal solutions for these optimization pro

ISSN:1057-9214    

DOI:10.1002/mcda.4020040205

出版商:John Wiley&Sons, Ltd.    

年代:1995

数据来源: WILEY

ISSN:1057-9214    

DOI:10.1002/mcda.4020040201

出版商:John Wiley&Sons, Ltd.    

年代:1995

数据来源: WILEY