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Robust fuzzy PSS design using ABC [PDF]
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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Uncertainty modeling using intuitionistic fuzzy numbers [PDF]
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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Entropy on Intuitionistic Fuzzy Sets and Hesitant Fuzzy Sets [PDF]
Since the sufficient conditions for the maximum value of the intuitionistic fuzzy entropy are not unified and the hesitant fuzzy entropy cannot be compared when the lengths of the hesitation fuzzy elements are not equal, improved axiomatic definitions of intuitionistic fuzzy entropy and hesitant fuzzy entropy are proposed, and new intuitionistic fuzzy ...
Bicheng Yu+4 more
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Fuzzy Multi-Criteria Decision Making Algorithm under Intuitionistic Hesitant Fuzzy Set with Novel Distance Measure [PDF]
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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Intertemporal Choice of Fuzzy Soft Sets [PDF]
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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On the Convergence of Fuzzy Sets and the Completeness of the Space of Fuzzy Sets
The authors introduce several convergence concepts of fuzzy sets such as convergent in measure, convergent uniformly, \(\mu\)-uniform convergence and \(L^ p\)-convergent. After defining these concepts, the authors construct an embedding of the space of fuzzy sets in a normed linear space.
He Ouyang+3 more
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The selection of parameters plays a vital role in the multi-attribute decision-making process. In some situations, it is observed that the nature of parameters is ambiguous and a multi-decisive opinion is necessary for managing such parametric ...
Muhammad Ihsan+5 more
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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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Fuzzy sets and their operations
Among the basic operations which can be performed on fuzzy sets are the operations of union, intersection, complement, algebraic product and algebraic sum. In addition to these operations, new operations called “bounded-sum” and “bounded-difference” were defined by L. A.
Mizumoto, Masaharu, Tanaka, Kokichi
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Fuzzy Set Field and Fuzzy Metric
The notation of fuzzy set field is introduced. A fuzzy metric is redefined on fuzzy set field and on arbitrary fuzzy set in a field. The metric redefined is between fuzzy points and constitutes both fuzziness and crisp property of vector.
Gebru Gebray, B. Krishna Reddy
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