Results 101 to 110 of about 11,356,201 (165)
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On the centroids of fuzzy numbers
Fuzzy Sets and Systems, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ying-Ming Wang 0001 +3 more
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A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments
Applied Soft Computing, 2020Design concept evaluation in the early phase of product design plays a crucial role in new product development as it considerably determines the direction of subsequent design activities.
Guoniu Zhu, Jie Hu, Hongliang Ren
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Credal-based fuzzy number data clustering
Granular Computing, 2023Zhe Liu
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Fuzzy number-valued fuzzy measure and fuzzy number-valued fuzzy integral on the fuzzy set
Fuzzy Sets and Systems, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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PROCESSING OF FUZZY NUMBERS BY FUZZY RELATION EQUATIONS
Kybernetes, 1986In this paper we deal with fuzzy numbers that modelize uncertain quantities present in many fields of applications, such as man‐machine systems. Main attention is paid to inverse operations for fuzzy numbers which allow one to solve equations or systems of equations with fuzzy numbers.
A. Di Nola, W. Pedrycz, SESSA, SALVATORE
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An Advanced Optimization Technique for Smart Production Using α-Cut Based Quadrilateral Fuzzy Number
International Journal of Fuzzy Systems, 2021Rakesh Kumar +4 more
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Ranking Fuzzy Numbers Based on the Mean and Fuzzy Degree of Fuzzy Number
Applied Mechanics and Materials, 2012In this paper, a novel approach to ranking fuzzy numbers based on the mean and the fuzzy degree of fuzzy number is proposed. In the approach, a new ranking index that is comprehensive consideration of the mean and the fuzzy degree of fuzzy number is constructed, and then the properties of the ranking index are given.
Gui Xiang Wang, Guang Tao Zhou
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Trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Przemyslaw Grzegorzewski, Edyta Mrówka
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Platform type fuzzy number and separability of fuzzy number space
Fuzzy Sets and Systems, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fachao Li 0001 +3 more
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2011 Workshop-School on Theoretical Computer Science, 2011
Interval fuzzy sets allow us to deal not only with vagueness (lack of sharp class boundaries), but also with uncertainty (lack of information). The aim of this tutorial is to present some basic concepts about interval fuzzy numbers. Several concepts related to fuzzy sets are extended to the interval approach.
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Interval fuzzy sets allow us to deal not only with vagueness (lack of sharp class boundaries), but also with uncertainty (lack of information). The aim of this tutorial is to present some basic concepts about interval fuzzy numbers. Several concepts related to fuzzy sets are extended to the interval approach.
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