Results 281 to 290 of about 38,682 (311)
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2005
Algebra of ordered fuzzy numbers (OFN) is defined to handle with fuzzy inputs in a quantitative way, exactly in the same way as with real numbers. Additional two structures: algebraic and normed (topological) are introduced to define a general form of defuzzyfication operators.
Witold Kosinski +2 more
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Algebra of ordered fuzzy numbers (OFN) is defined to handle with fuzzy inputs in a quantitative way, exactly in the same way as with real numbers. Additional two structures: algebraic and normed (topological) are introduced to define a general form of defuzzyfication operators.
Witold Kosinski +2 more
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Fuzzy Numbers and Fuzzy Optimization
2019A fuzzy number is a quantity whose value is imprecise rather than exact as is the case with single-valued number.
Sahidul Islam, Wasim Akram Mandal
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The fuzzy degrees of fuzzy n - cell numbers
2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010In this paper, we study the problems about fuzzy degrees of fuzzy n - cell numbers, which can be used in ranking uncertain multi-channel digital signal information. Firstly, we introduce concepts of vector-valued fuzzy degrees and weight (number-valued) fuzzy degrees of fuzzy n - cell numbers, and then investigate their properties. At last, in order to
Guixiang Wang, Zhenju Mu
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A fuzzy ranking of fuzzy numbers
Fuzzy Sets and Systems, 1989Abstract We present a fuzzy ranking of fuzzy numbers and then briefly discuss two applications.
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Metric Topology of Fuzzy Numbers and Fuzzy Analysis
2000This chapter gives an overview of distances between fuzzy numbers and the topology that these metrics induce. The metric structure allows the development of fuzzy analysis and various applications to interpolation, approximation and differential equations.
Diamond, P. M., Kloeden, P.
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Fuzzy Portfolio Optimization Model with Fuzzy Numbers
2011A new portfolio optimization model with triangular fuzzy numbers is proposed in this paper. The objective function is considered as maximizing fuzzy expected return of securities under the constraint that the risk will not be greater than a preset tolerable fuzzy number, where the expected return and risk of securities are described as triangular fuzzy
Chunquan Li 0003, Jianhua Jin
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Fuzzy Number-Based Hierarchical Fuzzy System
2004Hierarchical fuzzy systems allow for reducing number of rules and for prioritization of rules. To retain fuzziness, intermediate signals should be fuzzy. Transferring fuzzy signal is computationally demanding. Special form of hierarchical fuzzy system is proposed to reduce computational burden.
Adam E. Gaweda, Rafal Scherer
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Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification
IEEE Transactions on Cybernetics, 2020C L Philip Chen, Feng Shuang
exaly

