Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis
Information Sciences: an International Journal
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Area ranking of fuzzy numbers based on positive and negative ideal points
Computers & Mathematics with Applications
Target-Oriented Decision Analysis with Different Target Preferences
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
A new method for ranking fuzzy numbers: endpoint method
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Fuzzy decision-making based on likelihood-based comparison relations
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Kansei information transfer technology
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
Fuzzy target-based multi-feature evaluation of traditional craft products
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Non-additive multi-attribute fuzzy target-oriented decision analysis
Information Sciences: an International Journal
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In this paper, we introduce a new comparison relation on fuzzy numbers based on their alpha-cut representation and comparison probabilities of interval values. Basically, this comparison process combines a widely accepted interpretation of fuzzy sets together with the uncertain characteristics inherent in the representation of fuzzy numbers. The proposed comparison relation is then applied to the issue of ranking fuzzy numbers using fuzzy targets in terms of target-based evaluations. Some numerical examples are used to illuminate the proposed ranking technique as well as to compare with previous methods. More interestingly, according to the interpretation of the new comparison relation on fuzzy numbers, we provide a fuzzy target-based decision model as a solution to the problem of decision making under uncertainty, with which an interesting link between the decision maker's different attitudes about target and different risk attitudes in terms of utility functions can be established. Moreover, an application of the proposed comparison relation to the fuzzy target-based decision model for the problem of fuzzy decision making with uncertainty is provided. Numerical examples are also given for illustration.