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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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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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Reducing fuzzy answer set programming to model finding in fuzzy logics [PDF]
, 2011 In recent years, answer set programming (ASP) has been extended to deal with multivalued predicates. The resulting formalisms allow for the modeling of continuous problems as elegantly as ASP allows for the modeling of discrete problems, by combining the
Bauters +23 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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Uncertainty modeling using intuitionistic fuzzy numbers [PDF]
Vojnotehnički Glasnik, 2021 Introduction/purpose: The paper discusses the selection of the most optimal supplier using the example of an unmanned aircraft when the decision maker has data of a qualitative nature.
Vladimir R. Milovanović +3 more
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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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A new fuzzy set merging technique using inclusion-based fuzzy clustering [PDF]
, 2008 This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzzy set in the cluster prototypes.
Kaymak, U, Nefti-Meziani, S, Oussalah, M
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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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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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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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