Distance and similarity measures of dual hesitant fuzzy sets with their applications to multiple attribute decision making

The Dual Hesitant Fuzzy Sets (DHFSs) is a useful tool to deal with vagueness and ambiguity in the multiple attribute decision making (MADM) problems. The distance and similarity measures analysis are important research topics. In this paper, we propose a variety of distance measures for dual hesitan...

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Veröffentlicht in:	2014 IEEE International Conference on Progress in Informatics and Computing S. 88 - 92
Hauptverfasser:	Lei Wang, Shiming Xu, Qiming Wang, Mingfang Ni
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2014
Schlagworte:	Decision making distance measures dual hesitant fuzzy set Educational institutions Fuzzy sets Hamming distance Programmable logic arrays similarity measures TOPSIS Weight measurement
ISBN:	9781479920334, 1479920339
Online-Zugang:	Volltext
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