Results 21 to 30 of about 529,358 (334)
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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Interval-Valued Fuzzy Parameterized Intuitionistic Fuzzy Soft Sets and Their Applications
Cumhuriyet Science Journal, 2019 In recent years, the fuzzy sets, interval-valued fuzzysets, intuitionistic fuzzy sets and soft sets, which offer differentperspectives for the structures containing the uncertainties, have attractedthe interest of many researchers.
Hüseyin Kamacı
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An improved comprehensive evaluation model and its application [PDF]
International Journal of Computational Intelligence Systems, 2014 Since comprehensive evaluation model was introduced by Wang in 1984, the comprehensive evaluation model has many successful applications in real life. But some examples show the inefficiency of the comprehensive evaluation model.
Wenyi Zeng, Shuang Feng
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Characterization of G -Semigroup by Intuitionistic N-Fuzzy Set (INFS) and its level set [PDF]
, 2017 Some characterizations of G -Semigroup by intuitionistic N-fuzzy sets have been given here. The concept of intuitionistic N-fuzzy set (INFS) and its level set has been applied to G -semigroup.
Iqbal, Zaffar +2 more
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Mathematics, 2020 The fuzzyfication of hypercompositional structures has developed in several directions. In this note we follow one direction and extend the classical concept of reducibility in hypergroups to the fuzzy case.
Milica Kankaras, Irina Cristea
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ANNALS OF FUZZY MATHEMATICS AND INFORMATICS, 2017 Here a novel idea to handle imprecise or vague set viz. Pseudo fuzzy set has been proposed. Pseudo fuzzy set is a triplet of element and its two membership functions. Both the membership functions may or may not be dependent. The hypothesis is that every positive sense has some negative sense. So, one membership function has been considered as positive
Nayak, Sukanta, Chakraverty, Snehashish
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Complex & Intelligent Systems, 2023 Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
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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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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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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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