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A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking
conference contribution
posted on 2013-01-01, 00:00 authored by K Chai, K Tay, Chee Peng LimChee Peng LimIn 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].
History
Event
Fuzzy Systems. IEEE International Conference (2013 : Hyderabad, India)Pagination
1 - 6Publisher
IEEELocation
Hyderabad, IndiaPlace of publication
Piscataway, N.J.Start date
2013-07-07End date
2013-07-10Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2013, IEEETitle of proceedings
FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy SystemsUsage metrics
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No categories selectedKeywords
Dempster–Shafer theory(DST) of evidencefuzzy rankingfuzzy targetstheoretical propertiesScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringDempster-Shafer theory(DST) of evidenceDECISION-MAKINGREASONABLE PROPERTIESNUMBERS
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