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Modelling preference relaxation in e-commerce.

ARAN - Access to Research at NUI Galway

Show simple item record Dabrowski, Maciej en Acton, Thomas en 2010-11-19T12:11:16Z en 2010-11-19T12:11:16Z en 2010-09-23 en
dc.identifier.citation Dabrowski, M., & Acton, T. (18-23 July 2010). Modelling preference relaxation in e-commerce. Paper presented at the Fuzzy Systems (FUZZ), 2010 IEEE International Conference on. en
dc.identifier.isbn 9781424469192 en
dc.identifier.uri en
dc.description.abstract In multi-attribute decision choice scenarios, although decision-makers desire access to very large sets of possible choice options (alternatives), their cognitive resources are limited. They may simply be unable to process vast amounts of information available and to make a satisfactory decision. Interactive decision aids, are a potential solution to this problem. Decision aids that filter a very large set of alternatives based on initial decision-maker preferences may eliminate potentially good alternatives early in the decision process, lead to a poor quality consideration set, and possibly negatively impact decision quality. The decision aid we propose here modifies the filtration criteria provided and thus, allows decision makers to reconsider selected alternatives they initially eliminated. We propose a model of such a decision aid, give an overview of its different configurations, and provide an illustrative example of use in the apartment selection decision problem. We also hypothesize about the impact of the proposed decision aid on decision quality and consideration set size and quality. We conclude the paper with an overview of potential directions for future research and a discussion of benefits of application of preference relaxation. en
dc.format applications/pdf en
dc.language.iso en en
dc.publisher IEEE en
dc.subject Decision making en
dc.subject Electronic commerce en
dc.subject Enterprise Agility en
dc.title Modelling preference relaxation in e-commerce. en
dc.type Conference Paper en
dc.description.peer-reviewed peer-reviewed en

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