Results 11 to 20 of about 320,253 (212)
Implication functions in interval-valued fuzzy set theory [PDF]
, 2013 Interval-valued fuzzy set theory is an extension of fuzzy set theory in which the real, but unknown, membership degree is approximated by a closed interval of possible membership degrees.
Deschrijver, Glad
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Three Decades of Neutrosophic and Plithogenic Theories with their Applications (1995 - 2024) [PDF]
Neutrosophic Sets and SystemsNeutrosophic Set is a Generalization of Intuitionist Fuzzy Set, Inconsistent Intuitionist Fuzzy Set (Picture Fuzzy Set, Ternary Fuzzy Set), Pythagorean Fuzzy Set (Atanassov’s Intuitionist Fuzzy Set of second type), q-Rung Orthopair Fuzzy Set, Spherical ...
Florentin Smarandache
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Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology [PDF]
, 2011 Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scale morphology.
Deschrijver, Glad +5 more
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An Outlier Fuzzy Detection Method Using Fuzzy Set Theory
IEEE Access, 2019 Outlier mining task is to discover some unusual objects, and however, most existing methods and their mining results lack pertinence. To address the pertinence of outlier results, we propose a novel outlier detection approach, namely, FOD, which aims at ...
Lizhong Jin, Junjie Chen, Xiaobo Zhang
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Fuzzy Galois connections on fuzzy sets
, 1981 In fairly elementary terms this paper presents how the theory of preordered fuzzy sets, more precisely quantale-valued preorders on quantale-valued fuzzy sets, is established under the guidance of enriched category theory.
García, Javier Gutiérrez +2 more
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Decision-Making Approach with Fuzzy Type-2 Soft Graphs
Journal of Mathematics, 2020 Molodtsov’s theory of soft sets is free from the parameterizations insufficiency of fuzzy set theory. Type-2 soft set as an extension of a soft set has an essential mathematical structure to deal with parametrizations and their primary relationship ...
Sundas Shahzadi +2 more
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Linear Diophantine Fuzzy Set Theory Applied to BCK/BCI-Algebras
Mathematics, 2022 In this paper, we apply the concept of linear Diophantine fuzzy sets in BCK/BCI-algebras. In this respect, the notions of linear Diophantine fuzzy subalgebras and linear Diophantine fuzzy (commutative) ideals are introduced and some vital properties are ...
Ghulam Muhiuddin +4 more
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A study on fundamentals of refined intuitionistic fuzzy set with some properties [PDF]
Journal of Fuzzy Extension and Applications, 2020 Zadeh conceptualized the theory of fuzzy set to provide a tool for the basis of the theory of possibility. Atanassov extended this theory with the introduction of intuitionistic fuzzy set.
Atiqe Rahman +5 more
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A quantum theoretical explanation for probability judgment errors [PDF]
, 2011 A quantum probability model is introduced and used to explain human probability judgment errors including the conjunction, disjunction, inverse, and conditional fallacies, as well as unpacking effects and partitioning effects.
Busemeyer, J. R. +4 more
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Computing fuzzy rough approximations in large scale information systems [PDF]
, 2014 Rough set theory is a popular and powerful machine learning tool. It is especially suitable for dealing with information systems that exhibit inconsistencies, i.e. objects that have the same values for the conditional attributes but a different value for
Asfoor, Hasan +7 more
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