Results 21 to 30 of about 18,573 (294)
Exponential entropy on intuitionistic fuzzy sets [PDF]
, 2013 summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy entropy measure is proposed in the setting of Atanassov's intuitionistic fuzzy set theory. This measure is a generalized version of exponential fuzzy
Verma, Rajkumar, Sharma, Bhu Dev
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IEEE Access, 2022 Probabilistic hesitant fuzzy sets (PHFSs), a significant expansion of hesitant fuzzy sets (HFSs), were suggested and intensively explored in order to address the problem of missing preference information. Based on previous research on PHFS, we discovered
Yubo Hu, Zhiqiang Pang
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ENTROPY OF DISCRETE FUZZY MEASURES [PDF]
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000 The concept of entropy of a discrete fuzzy measure has been recently introduced in two different ways. A first definition was proposed by Marichal in the aggregation framework, and a second one by Yager in the framework of uncertain variables. We present a comparative study between these two proposals and point out their properties.
MARICHAL, Jean-Luc, Roubens, Marc
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Fuzzy clustering methods with Rényi relative entropy and cluster size
, 2021 In the last two decades, information entropy measures have been relevantly applied in fuzzy clustering problems in order to regularize solutions by avoiding the formation of partitions with excessively overlapping clusters.
Vélez Serrano, Daniel +3 more
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Relations among similarity measure, subsethood measure and fuzzy entropy [PDF]
International Journal of Computational Intelligence Systems, 2013 In this paper we study the relations among similarity measure, subsethood measure and fuzzy entropy and present several propositions that similarity measure, subsethood measure and fuzzy entropy can be transformed by each other based on their axiomatic ...
Yingfang Li, Keyun Qin, Xingxing He
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On a weighted fuzzy knowledge measure with its application to multi-attribute decision-making [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 In a real-life problem with some ambiguity, the ‘fuzzy entropy’ measures the total amount of ambiguity associated with the fuzzy set. Analogous to this, a fuzzy knowledge measure may be considered for the total amount of precision present in a fuzzy ...
Surender Singh, Sumita Lalotra
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Fuzzy and Entropy Facial Recognition [PDF]
International Journal of Fuzzy Logic Systems, 2014 This paper suggests an effective method for facial recognition using fuzzy theory and Shannon entropy. Combination of fuzzy theory and Shannon entropy eliminates the complication of other methods. Shannon entropy calculates the ratio of an element between faces, and fuzzy theory calculates the member ship of the entropy with 1.
Jaejun Lee, Taeseon Yun
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Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy [PDF]
, 2017 © 2017 IEEE. This study considers the dynamic changes of complexity feature by fuzzy entropy measurement and repetitive steady-state visual evoked potential (SSVEP) stimulus.
Mukesh Prasad +8 more
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, 2021 Due to the important advantages it offers, gamification is one of the fastest-growing industries in the world, and interest from the market and from users continues to grow. This has led to the development of more and more applications aimed at different
María Carmen Carnero
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Solution of High Dimension Multi-objective Optimization Problem Based on Entropy and Membership Function [PDF]
Jisuanji gongcheng, 2016 A new fitness assignment strategy is proposed for solving the high dmension multi-objective optimization problem,which is the Fuzzy Relevance Entropy Method(FREM).The FREM is built by integrating the fuzzy information entropy theory and the membership ...
LIU Chao,HE Lijun,ZHU Guangyu
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