On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
On the instantiation of possibility distributions
Fuzzy Sets and Systems
Multiattribute Preference Analysis with Performance Targets
Operations Research
IEEE Transactions on Knowledge and Data Engineering
Decision making under uncertainty with fuzzy targets
Fuzzy Optimization and Decision Making
Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis
Information Sciences: an International Journal
On prioritized weighted aggregation in multi-criteria decision making
Expert Systems with Applications: An International Journal
IEEE Transactions on Fuzzy Systems
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This paper introduces our research work in fuzzy target-oriented decision analysis and its application to kansei-based evaluation of traditional crafts. After a brief introduction into fuzzy target-oriented decision analysis, we formulate a general target-oriented approach to multi-attribute evaluation problem for personalized recommendation. The central idea of this approach is to first interpret a particular user's request as a target (or benchmark) at which the user would be only interested in candidates meeting this target, and then use a combination of target-oriented decision analysis and aggregation operators for defining an evaluation function that quantifies how well a candidate meets the user's target. As for illustration, we will introduce a target-based evaluation method for multi-feature ranking of traditional craft products using kansei data and preferences specified by consumers, where product items are assessed according to the so-called kansei features, and kansei data are treated as categorical data.