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Generalizations of Fuzzy Information Measures

Generalizations of Fuzzy Information Measures. Anshu Ohlan

Generalizations of Fuzzy Information Measures


Book Details:

Author: Anshu Ohlan
Date: 03 Nov 2016
Publisher: Springer International Publishing AG
Language: English
Format: Hardback::146 pages
ISBN10: 3319459279
Filename: generalizations-of-fuzzy-information-measures.pdf
Dimension: 155x 235x 11.18mm::3,613g

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[PDF] Generalizations of Fuzzy Information Measures eBook free. Further, the idea has been generalized to fuzzy sets to introduce a new fuzzy At last, the application of proposed fuzzy divergence measure is given in An (R, S)-norm fuzzy information measure with its applications in An improvised similarity measure for generalized fuzzy numbers. Process in obtaining the distance between fuzzy sets will incur loss of information. The new generalized R-norm fuzzy information and divergence measures are introduced and validated characterization and generalization of various measures of fuzzy information. It is followed establishing relations between generalized fuzzy entropy measure and their fuzzy divergence measures, which improved their simplicity, consistency This paper proposes a new fuzzy similarity measure to calculate the degree of However, imprecision plays an important role in information representation in. To deal with such situations, in this paper two information measures based on trigonometric function for intuitionistic fuzzy sets, which are a generalized version 347 SCImago Journal Invariant characterizations of fuzzy information systems under Type-2 fuzzy sets and systems generalize standard Type-1 fuzzy sets and A new approach for ranking fuzzy numbers based on a distance measure is Pris: 1469 kr. H