Results 191 to 200 of about 759 (214)
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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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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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Interval-valued Hesitant Fuzzy Soft Sets and their Application in Decision Making
Fundamenta Informaticae, 2015The soft set theory can be used as a newly mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. In this paper, we propose the interval-valued hesitant fuzzy soft sets which are a combination of the interval-valued hesitant fuzzy sets and soft sets.
Xindong Peng, Yong Yang
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On interval-valued fuzzy soft set theory applied to semigroups
Soft Computing, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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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 0017, 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.
AR. Pandipriya +2 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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An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction
2011Soft set theory in combination with the interval-valued fuzzy set has been proposed as the concept of the interval-valued fuzzy soft set. However, up to the present, few documents have focused on parameter reduction of the interval-valued fuzzy soft sets. In this paper, we propose a definition of normal parameter reduction of interval-valued fuzzy soft
Xiuqin Ma, Norrozila Sulaiman
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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 0001 +3 more
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