2002
DOI: 10.1016/s0165-0114(01)00127-0
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Some new fuzzy entropy formulas

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Cited by 71 publications
(27 citation statements)
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“…Moreover, we introduce some entropy measures for linguistic terms using Shannon's [55] probabilistic entropy, (p, q)-entropy of a probability distribution [52], trigonometric entropies [14], and so on. Section 3 is devoted to the results on the transformation of the similarity measures to the entropy measures.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, we introduce some entropy measures for linguistic terms using Shannon's [55] probabilistic entropy, (p, q)-entropy of a probability distribution [52], trigonometric entropies [14], and so on. Section 3 is devoted to the results on the transformation of the similarity measures to the entropy measures.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…• S * (τ ) is used to denote either the additive linguistic term set S + φ(τ ) given by (8), or the multiplicative linguistic term set S × ϕ(τ ) given by (14);…”
Section: Multiplicative Linguistic Term Setmentioning
confidence: 99%
“…Yager [41], [42] provided another way to view the degree of fuzziness in terms of a lack of distinction between a proposition and its negation. This concept was extended by Higashi and Klir [13] of literature concerning the definition of fuzzy entropy and its applications such as Pal and Pal [30], [31], Yager [47], and Fan and Ma [8]. A good survey of fuzzy entropy for finite universal sets can be found in Pal and Bezdek [34], [35].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, some inclusion measures of IFSs and IvIFSs have been proposed in [6,18], which also play important roles in the application areas such as approximate reasoning, statistical inference and decision making. Moreover, a large number of researchers have studied information entropy measures for fuzzy set from different aspects [8,4,9,24]. Later, Szmidt [25] and Vlachos [26] proposed some intuitionistic fuzzy information entropy measures for IFSs and applied them to pattern recognition.…”
Section: Introductionmentioning
confidence: 99%