Results 11 to 20 of about 36,854 (151)
Mathematics, 2021 Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. Likewise, the present study examines a new approach to solve FFLP issues through fuzzy decision parameters and variables using triangular fuzzy numbers ...
Saeid Jafarzadeh Ghoushchi +3 more
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IEEE Transactions on Fuzzy Systems, 2021 The primary goal of this article is to develop a direct and simplified approach for computing triangular fuzzy Banzhaf values for a special class of cooperative games with coalitions’ values represented by triangular fuzzy numbers, which are called ...
Yin-Fang Ye +2 more
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Fuzzy dissimilarities and the fuzzy Choquet integral of triangular fuzzy numbers on [0,1]
Fuzzy Sets and SystemsThe authors acknowledge with thanks to their universities. A.F. Roldán López de Hierro and H. Bustince are grateful to Ministerio de Ciencia e Innovación by Projects PID2020-119478GB-I00 and PID2022-136627NB-I00, supported by MCIN/AEI/10.13039/501100011033/FEDER, UE.
Antonio-Francisco Roldán-López-de-Hierro +6 more
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Comparison of triangular fuzzy numbers
Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2019 The concept of \textit{fuzzy set} of [\textit{L. A. Zadeh}, Inf. Control 8, 338--353 (1965; Zbl 0139.24606)] motivated the development of fuzzy real analysis. In particular, the notion of \textit{fuzzy number} was introduced and basic operations with such new structures were considered (see, e.g., [\textit{D. Dubois} and \textit{H. Prade}, in: Analysis
Ukhobotov, Viktor Ivanovich +2 more
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Triangular Fuzzy Numbers Multiplication: QKB method
Fuzzy Optimization and Modeling, 2021 Triangular Fuzzy numbers (TFNs) are vast and common representation of fuzzy data in applied sciences. Multiplication is a very indispensable operation for fuzzy numbers. It is necessary to decompose fuzzy systems such as fully triangular fuzzy regression
Abdullah Al-Qudaimi +2 more
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Integrated and Differentiated Spaces of Triangular Fuzzy Numbers
Fasciculi Mathematici, 2017 AbstractFuzzy sets are the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling. Fuzzy sets have be- come popular in every branch of mathematics such as analysis, topology, algebra, applied mathematics etc.
M. Kirişci
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Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers [PDF]
Mexican International Conference on Artificial Intelligence, 2018 A pivotal difference between Artificial Neural Networks and Fuzzy Cognitive Maps (FCMs) is that the latter allow modeling a physical system in terms of concepts and causal relations, thus equipping the network with interpretability features. However, such components are normally described by quantitative terms, which may be difficult to handle by ...
Mabel Frias Dominguez +5 more
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On improving trapezoidal and triangular approximations of fuzzy numbers
International Journal of Approximate Reasoning, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chi-Tsuen Yeh
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Technological and Economic Development of Economy, 2016 Decision-making in fuzzy environment is often a very complex, especially when related to predictions and assessments. The Ratio system approach of the MOORA method and Intervalvalued fuzzy numbers have already proved themselves as the effective tools for
Dragisa Stanujkic
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Use of the Triangular Fuzzy Numbers for Student Assessment
CoRR, 2015 9 pages, 2 ...
M. Voskoglou
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