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Computers & Mathematics with Applications, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Q., Wang, P., Lee, E.S.
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Robust fuzzy PSS design using ABC [PDF]
, 2011 This paper presents an Artificial Bee Colony (ABC) algorithm to tune optimal rule-base of a Fuzzy Power System Stabilizer (FPSS) which leads to damp low frequency oscillation following disturbances in power systems. Thus, extraction of an appropriate set
Abedinia, Oveis +2 more
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Suatu Kasus Dispensable Set pada Fuzzy N-Soft Set
Jurnal Matematika Integratif, 2022 Konsep tentang fuzzy N-soft set (FNSS) merupakan gabungan dari konsep fuzzy set dengan N-soft set untuk menyelesaikan suatu permasalahan dalam proses pengam- bilan keputusan.
Athia Nurindah Sari +2 more
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Fuzzy Multi-Criteria Decision Making Algorithm under Intuitionistic Hesitant Fuzzy Set with Novel Distance Measure [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Decision making under uncertainty is a crucial issue and most demanding area of research now a days. Intuitionistic hesitant fuzzy set plays important role in dealing with the circumstances in which decision makers judge an alternative with a collection ...
Rupjit Saikia, Harish Garg, Palash Dutta
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An immune algorithm based fuzzy predictive modeling mechanism using variable length coding and multi-objective optimization allied to engineering materials processing [PDF]
, 2008 In this paper, a systematic multi-objective fuzzy modeling approach is proposed, which can be regarded as a three-stage modeling procedure. In the first stage, an evolutionary based clustering algorithm is developed to extract an initial fuzzy rule ...
Chen, Jun, Mahfouf, M.
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Information and Control, 1965 A fuzzy set is a ``set'' of elements with a continuum of ``grades of membership''. The rigorous definition is: let \(X\) be a set of objects (elements); a fuzzy set \(A\) in \(X\) is defined by a ``membership (characteristic) function'' \(f_A\), which associates with each element \(x\in X\) a real number \(f_A(x)\in [0,1]\).
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Intertemporal Choice of Fuzzy Soft Sets [PDF]
, 2018 This paper first merges two noteworthy aspects of choice. On the one hand, soft sets and fuzzy soft sets are popular models that have been largely applied to decision making problems, such as real estate valuation, medical diagnosis (glaucoma, prostate ...
Muñoz Torrecillas, María José +1 more
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Type-1 Fuzzy Sets and Intuitionistic Fuzzy Sets [PDF]
Algorithms, 2017 A comparison between type-1 fuzzy sets (T1FSs) and intuitionistic fuzzy sets (IFSs) is made. The operators defined over IFSs that do not have analogues in T1FSs are shown, and such analogues are introduced whenever possible.
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Application of Neutrosophic Set Theory in Generalized Assignment Problem [PDF]
Neutrosophic Sets and Systems, 2015 This paper presents the application of Neutrosophic Set Theory (NST) in solving Generalized Assignment Problem (GAP). GAP has been solved earlier under fuzzy environment. NST is a generalization of the concept of classical set, fuzzy set, interval-valued
Supriya Kar, Kajla Basu, Sathi Mukherjee
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L-Fuzzy Sets and Isomorphic Lattices: Are All the “New” Results Really New? †
Mathematics, 2018 We review several generalizations of the concept of fuzzy sets with two- or three-dimensional lattices of truth values and study their relationship. It turns out that, in the two-dimensional case, several of the lattices of truth values considered here ...
Erich Peter Klement, Radko Mesiar
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