Title :
A new Dempster-Shafer Theory-based method with fuzzy targets for Fuzzy Sets ranking
Author :
Kok Chin Chai ; Kai Meng Tay ; Chee Peng Lim
Author_Institution :
Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
Abstract :
In this paper, a new Fuzzy Set (FS) ranking method (for type-1 and interval type-2 FSs), which is based on the Dempster-Shafer Theory (DST) of evidence with fuzzy targets, is investigated. Fuzzy targets are adopted to reflect human viewpoints on fuzzy ranking. Two important measures in DST, i.e., the belief and plausibility measures, are used to rank FSs. The proposed approach is evaluated with several benchmark examples. The use of the belief and plausibility measures in fuzzy ranking are discussed and compared. We further analyze the capability of the proposed approach in fulfilling six reasonable fuzzy ordering properties as discussed in [9]-[11].
Keywords :
belief networks; fuzzy set theory; inference mechanisms; DST; Dempster-Shafer theory-based method; FS ranking method; belief measure; fuzzy ordering property; fuzzy ranking; fuzzy set ranking method; fuzzy targets; human viewpoints; interval type-2 FS; plausibility measure; type-1 FS; Australia; Educational institutions; Electronic mail; Frequency selective surfaces; Fuzzy sets; Intelligent systems; Probabilistic logic; Dempster-Shafer theory(DST) of evidence; fuzzy ranking; fuzzy targets; theoretical properties;
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4799-0020-6
DOI :
10.1109/FUZZ-IEEE.2013.6622358
