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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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Entropies in finite fuzzy sets
Information Sciences, 1978zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Enric Trillas, T. Riera
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Measures of fuzziness and entropy of fuzzy information
Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393), 2002Vagueness of knowledge results from the imprecision and uncertainty of knowledge. In fuzzy theory, much attention has being paid to the measure of fuzziness of a fuzzy subset, while entropy, as a measure of uncertainty, plays a significant role in the field of information theory.
null Hang Xiaoshu, null Xiong Fanlun
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Addition as fuzzy mutual entropy
Information Sciences, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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