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Fuzzy Measures: Collectors of Entropies
2007In the fuzzy setting we define a collector of entropies, which allows us to consider the reliability of observers. This leads to a system of functional equations. We are able to find the general solution of the system for collectors, which are compatible with a law of the kind "Inf" in [2]. Finally we give a class of solutions for a collector for which
VIVONA, Doretta, M. Divari
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Entropy-based fuzzy clustering and fuzzy modeling
Fuzzy Sets and Systems, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yao, J., Dash, M., Tan, S.T., Liu, H.
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Assessing Potential of Organizations with Fuzzy Entropy
Operations Research Forum, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manish Aggarwal +4 more
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On the Entropy of Intuitionistic Fuzzy Events
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2006This paper introduces the notion of entropy of intuitionistic fuzzy events. Based on the concept of probability of events in the intuitionistic fuzzy setting, we propose different entropy definitions. These entropies constitute a generalization of the corresponding definitions for fuzzy events.
Ioannis K. Vlachos, George D. Sergiadis
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On sequential entropy of fuzzy systems
Journal of Intelligent & Fuzzy Systems, 2018Shannon entropy is an important tool in the study of information theory. A new fuzzy entropy was introduced by Dumitrescu [ 5 , 6 ] in the context of fuzzy sets or messages.
Zhao, Y (Zhao, Yun) +2 more
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Conditional Fuzzy Entropy of Maps in Fuzzy Systems
Theory of Computing Systems, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy orthopartitions and their logical entropy. [PDF]
, 2021 In this paper, we present special families of intuitionistic fuzzy sets called fuzzy orthopartitions, which are generalizations of standard fuzzy partitions useful to model situations where both vagueness and uncertainty are involved. Moreover, we define and explain how to compute the lower and upper entropy, which measure the quantity of information ...
Boffa S., Ciucci D.
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10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002
This paper presents a survey about different types of fuzzy information measures. A number of schemes have been proposed to combine the fuzzy set theory and its application to the entropy concept as a fuzzy information measurements. The entropy concept, as a relative degree of randomness, has been utilized to measure the fuzziness in a fuzzy set or ...
Salah Al-Sharhan +3 more
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This paper presents a survey about different types of fuzzy information measures. A number of schemes have been proposed to combine the fuzzy set theory and its application to the entropy concept as a fuzzy information measurements. The entropy concept, as a relative degree of randomness, has been utilized to measure the fuzziness in a fuzzy set or ...
Salah Al-Sharhan +3 more
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Entropy for fuzzy regression analysis
International Journal of Systems Science, 2005Prediction by regression plays an important role in intelligent systems. To construct a regression model for fuzzy numbers, this paper decomposes a fuzzy number into two parts: the position and fuzziness. The former is represented by the elements with membership value 1 and the latter by the entropy of the fuzzy number; both have crisp values.
Chiang Kao, Pei-Huang Lin
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A New Fuzzy Entropy for Intuitionistic Fuzzy Sets
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007Fuzzy entropy is an important concept of intuitionistic fuzzy sets (IFSs). In this paper, the resources of the entropy of an intuitionistic fuzzy set are analyzed. It is pointed out that the fuzzy entropy of an IFS comes from uncertainty and unknown information.
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