Results 11 to 20 of about 5,089 (201)
MathematicsIn this study, we present a similarity and fuzzy arithmetic-based fuzzy inference method and show how effectively it can be used to forecast the number of passengers on a railway route.
Marcell Fetter, Tamás Jónás
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Irrelevance in Incomplete Fuzzy Arithmetic
2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2016 Irrelevance, a notion which was first put forward by this author jointly with A. Sgarro, is a convenient tool to speed up computations in the arithmetic of interactive fuzzy numbers. In this paper we are trying to understand what happens if the fuzzy quantities one is considering are incomplete, or sub-normal, that is if one allows that a fuzzy ...
Franzoi, L
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Fuzzy arithmetic on systolic arrays
Parallel Computing, 1993 Abstract This paper presents parallel algorithms for fuzzy arithmetic operations on systolic arrays. A large part of the arithmetic on fuzzy numbers is referred to as fuzzy convolutions, which take O(n2) time steps when implemented sequentially. In this paper, we present two parallel algorithms. The first algorithm runs on a linear array machine in O(
Hassen Dhrif, Dilip Sarkar
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Fuzzy Numbers and Fuzzy Arithmetic
, 2008 The arithmetical and topological structures of fuzzy numbers have been developed in the 1980s and this enabled to design the elements of fuzzy calculus (see [6, 7]); Dubois and Prade stated the exact analytical fuzzy mathematics and introduced the well-known LR model and the corresponding formulas for the fuzzy operations. For the basic concepts see, e.
STEFANINI LUCIANO +2 more
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Mathematics, 2019 The aims of this study are to propose the linguistic picture fuzzy Dombi (LPFD) aggregation operators and decision-making approach to deal with uncertainties in the form of linguistic picture fuzzy sets.
Muhammad Qiyas +3 more
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Interpolative model for fuzzy arithmetic
Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2002 Standard model of fuzzy computations is based on extension principle. It is known to work well, in practice, only for continuous fuzzy numbers, while producing unintuitive results when one or more arguments are discrete. It is also computationally cumbersome for all but linear operations. Another model was proposed for trapezoidal numbers only.
Ramer, Arthur +4 more
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Real-Time Constrained Fuzzy Arithmetic
IEEE Transactions on Fuzzy Systems, 2009 Klir introduced constrained fuzzy arithmetic (CFA) as a solution to the unnecessary precision loss when dealing with fuzzy quantities that represent linguistic variables. Since then, some attempts have been made to make CFA efficient, but none of these solutions is suitable for real-time applications.
Patricia Victor +3 more
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Fuzzy Arithmetic with Parametric LR Fuzzy Numbers. [PDF]
, 2009 In this paperwe suggest and describe a new family of parametric representations for LR fuzzy numbers and use them for fuzzy calculations and ...
SORINI, LAERTE, STEFANINI, LUCIANO
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IEEE Transactions on Fuzzy Systems, 2010 It is well known that a fuzzy rule base can be interpreted in different ways. From a logical point of view, the conjunctive interpretation is preferred, while from a practical point of view, the disjunctive interpretation has been dominantly present.
Martin Stepnicka +2 more
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Theory and Applications of Ordered Fuzzy Numbers: A Tribute to Professor Witold Kosiński [PDF]
, 2017 fuzzy arithmetic; defuzzyfication; fuzzy prediction models; analysis; trend processing; uncertainty modeling; propagation of uncertainty; Kosinski’s fuzzy ...
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