Results 191 to 200 of about 20,995 (223)
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Interval-valued complex fuzzy soft sets
AIP Conference Proceedings, 2017Type-2 fuzzy sets allow us to incorporate the uncertainties about the membership functions into fuzzy sets, thereby overcoming a problem that is inherent in type-1 fuzzy sets, which does not allow for any uncertainty in assigning values to the membership functions.
Ganeshsree Selvachandran +1 more
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Selection coefficient using interval-value fuzzy soft set
AIP Conference Proceedings, 2020In this paper, we introduce the idea of fuzzy selection coefficient interval valued fuzzy soft set principle, fuzzy selection coefficient interval valued fuzzy soft set and observe their operations. We take outline-aggregation operator to form fuzzy selection coefficient interval valued fuzzy soft set -selection making approach that permits making ...
N. Anitha, V. Lambodharan
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On Possibility Interval-Valued Fuzzy Soft Sets
Applied Mechanics and Materials, 2013Soft set theory, initiated by Molodtsov, can be used as a new mathematical tool for dealing with imprecise, vague, and uncertain problems. In this paper, the concepts of two types of possibility interval-valued fuzzy soft sets are proposed. Their operations and basic properties are studied which are subset, equal, relative complement, union ...
Yong Yang, Cong Cong Meng
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Entropy on Interval-Valued Intuitionistic Fuzzy Soft Set
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015In this paper, the concept of soft entropy is firstlyproposed to measure the intrinsic uncertainty of a soft set. For interval-valued intuitionistic fuzzy soft sets, axiomaticaldefinitions of intuitionistic entropy, fuzzy entropy and soft en-tropy are proposed. The corresponding calculate formulae aregiven respectively. Different types of uncertainties
Yaya Liu, Keyun Qin
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On Interval-Valued Fuzzy Soft Set Theory Applied To Ternary Semigroups
Lobachevskii Journal of Mathematics, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Soft Interval-Valued Intuitionistic Fuzzy Rough Sets
2015The vagueness or the representation of imperfect knowledge has been a problem for a long time for the mathematicians. There are many mathematical tools for dealing with uncertainties; some of them are fuzzy set theory, rough set theory, and soft set theory.
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An interval-valued fuzzy soft set based triple I method
2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2017This paper focuses on triple I inference method based on interval-valued fuzzy soft sets. Computational formulas for both interval-valued fuzzy soft modus ponens (IVF-SMP) and interval-valued fuzzy soft modus tollens (IVFSMT) with respect to left-continuous interval-valued t-norms and its residual interval-valued implication are presented. Besides, the
Binbin Xue, Lu Wang, Keyun Qin
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Morphisms on lattice ordered interval-valued hesitant fuzzy soft sets
Journal of Intelligent & Fuzzy Systems, 2019In 2018, we presented the structure of lattice on one of the efficient hybrid models interval-valued hesitant fuzzy soft set. As a result of this intention, the new idealogy of lattice on IVHFSS was introduced with vital properties and its real life application was examined.
Pandipriya, AR. +2 more
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Interval-Valued Intuitionistic Fuzzy Soft Rough Sets
2015In this chapter, the concept of interval-valued intuitionistic fuzzy soft rough sets is introduced. Also interval-valued intuitionistic fuzzy soft rough set-based multi-criteria group decision-making scheme is presented, which refines the primary evaluation of the whole expert group and enables us to select the optimal object in a most reliable manner.
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Group Decision Making Through Interval Valued Intuitionistic Fuzzy Soft Sets
International Journal of Fuzzy System Applications, 2018This article describes how the lack of adequate parametrization in some of the earlier uncertainty based models like fuzzy sets, rough sets motivated Molodtsov to introduce a new model in soft set. A suitable combination of individual models leads to hybrid models, which are more efficient than their individual components.
B. K. Tripathy +3 more
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