Title :
Mean-value-based decision-theoretic shadowed sets
Author :
Xiaofei Deng ; Yiyu Yao
Author_Institution :
Dept. of Comput. Sci., Univ. of Regina, Regina, SK, Canada
Abstract :
The model of decision-theoretic shadowed sets provides a cost-sensitive approach to three-valued approximation of a fuzzy set on a finite universe. We introduce a semantic meaningful objective function for modeling shadowed sets using the decision theory. This paper is an extension and generalization of the decision-theoretic shadowed sets. We improve the cost-sensitive approach by generalizing the three-valued shadowed sets approximation using mean values. In particular, a mean value of the membership grades that are neither 1 nor 0 is used to represent the shadow. As a result, we have a more general and practical decision-theoretic shadowed set model, in which the optimal pair of thresholds is related to the membership structures of objects.
Keywords :
decision theory; fuzzy set theory; cost-sensitive approach; finite universe; fuzzy set; mean-value-based decision-theoretic shadowed set model; membership grades; object membership structures; optimal pair; semantic meaningful objective function; three-valued shadowed sets approximation; Approximation methods; Computational modeling; Computer science; Decision theory; Fuzzy sets; Linear programming; Uncertainty;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608603