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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Vydané v:	2014 IEEE International Conference on Progress in Informatics and Computing s. 88 - 92
Hlavní autori:	Lei Wang, Shiming Xu, Qiming Wang, Mingfang Ni
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2014
Predmet:	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
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