1995
DOI: 10.1016/0165-0114(94)00291-e
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Use of fuzziness measures in layered networks for object extraction: a generalization

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Cited by 38 publications
(13 citation statements)
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“…Mentioned uncertainty is often measured by fuzzy entropy, and the explicit fuzzy entropy formulation has also been proposed by numerous researchers [1][2][3][4][5][6][7]. Fuzzy entropy of fuzzy set explains that how much uncertainty fuzzy set has with respect to the corresponding crisp set.…”
Section: Fuzzy Entropy For Fuzzy Setsmentioning
confidence: 99%
See 1 more Smart Citation
“…Mentioned uncertainty is often measured by fuzzy entropy, and the explicit fuzzy entropy formulation has also been proposed by numerous researchers [1][2][3][4][5][6][7]. Fuzzy entropy of fuzzy set explains that how much uncertainty fuzzy set has with respect to the corresponding crisp set.…”
Section: Fuzzy Entropy For Fuzzy Setsmentioning
confidence: 99%
“…The fact that entropy of a fuzzy set means a measure of its fuzziness has been established by previous researchers [1][2][3][4][5][6]. Zadeh first proposed fuzzy entropy as a measure of fuzziness; Pal and Pal analyzed classical Shannon information entropy; Kosko considered the relationship between distance measure and fuzzy entropy; Liu proposed axiomatic definitions of entropy, distance measures, and similarity measures and discussed the relationships among these three concepts.…”
Section: Introductionmentioning
confidence: 99%
“…Another definition of fuzzy entropy, given by Pal and Pal (1991) and Ghosh (1995), using exponential gain function is (20) with (21 ) Note that, these entropy measures, first of all, compute the fuzziness related to individual pixel of the image and then make an average over all the pixels to get a quantification of the amount of average ambiguity, the image possesses. Since their computation depends only on the histogram, they may be called global fuzzy entropy.…”
Section: Fuzzy Entropy Of An Imagementioning
confidence: 99%
“…Information quantization represents interesting research theme, in which data vagueness can be illustrated by clear number. Design of fuzzy entropy for calculation of uncertainty has been studied by numerous researchers [1][2][3]. Most of results were concentrated in the designing of fuzzy entropies [1,2], and many parts of them also showed the implicit results of fuzzy entropies [1].…”
Section: Introductionmentioning
confidence: 99%