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Data Analysis Approach for Incomplete Interval-Valued Intuitionistic Fuzzy Soft Sets [PDF]
Symmetry, 2020 The model of interval-valued intuitionistic fuzzy soft sets is a novel excellent solution which can manage the uncertainty and fuzziness of data. However, when we apply this model into practical applications, it is an indisputable fact that there are some missing data in many cases for a variety of reasons.
Hongwu Qin, Xiuqin Ma
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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 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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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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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 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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