In this paper, decision-theoretic five-way approximation of fuzzy sets is introduced by extending existing three-way decision-theoretic models. The proposed model exhibits a number of useful features which allow a decision maker to consider weak acceptance or weak rejection options, thereby minimizing the overall approximation error and cost. Two special models: cost-sensitive and minimum distance, in decision-theoretic five-way approximation of fuzzy sets are investigated. Experimental studies and comparisons with existing decision-theoretic three-way approximation models show the advantage and promising performance of the proposed model.
William-West, T., Ciucci, D. (2021). Decision-theoretic five-way approximation of fuzzy sets. INFORMATION SCIENCES, 572(September 2021), 200-222 [10.1016/j.ins.2021.04.105].
Decision-theoretic five-way approximation of fuzzy sets
Ciucci D.
Ultimo
2021
Abstract
In this paper, decision-theoretic five-way approximation of fuzzy sets is introduced by extending existing three-way decision-theoretic models. The proposed model exhibits a number of useful features which allow a decision maker to consider weak acceptance or weak rejection options, thereby minimizing the overall approximation error and cost. Two special models: cost-sensitive and minimum distance, in decision-theoretic five-way approximation of fuzzy sets are investigated. Experimental studies and comparisons with existing decision-theoretic three-way approximation models show the advantage and promising performance of the proposed model.
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