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Soft Rough Intuitionistic Fuzzy Sets
2015Theories of fuzzy sets and rough sets are powerful mathematical tools for modelling various types of uncertainty. Molodtsov (Comput Math Appl 37:19–31, 1999 [6]) initiated a novel concept called soft sets, a new mathematical tool for dealing with uncertainties.
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Predictions with Intuitionistic Fuzzy Soft Sets
2013This paper is applying methods from soft sets theory for timely identification of students who are in danger to fail their exam in a particular subject. The work exploits the advantages of soft sets compare to fuzzy logics and statistical methods.
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New Mathematics and Natural Computation, 2019
In the present study, for the medical decision-making problem, the proposed techniques related to the intuitionistic fuzzy parametrized soft sets and Riesz mean methods were used. The results of the given methods were compared.
M. Kirişci
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In the present study, for the medical decision-making problem, the proposed techniques related to the intuitionistic fuzzy parametrized soft sets and Riesz mean methods were used. The results of the given methods were compared.
M. Kirişci
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More on Intuitionistic Fuzzy Soft Sets
2009New operations on intuitionistic fuzzy soft sets have been introduced in this paper. Some results relating to the properties of these operations have been established. An example has also been introduced as an application of these operations.
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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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Reduksi Parameter Pada Intuitionistic Fuzzy Soft Set [PDF]
, 2022 Intuitionistic Fuzzy Soft Set (IFSS) adalah salah satu teori matematika untuk menghadapi ketidakpastian dalam masalah pengambilan keputusan di kehidupan sehari-hari. Proses menghilangkan informasi (atau parameter) yang tidak perlu dan berlebihan dari masalah pengambilan keputusan tanpa mengubah keputusan awalnya disebut reduksi parameter. Kemudian pada
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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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2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
In present paper, we devote to present a generic approach to the intuitionistic fuzzy soft sets. Firstly, we obtain a broad family of soft intuitionistic fuzzy rough sets, where (ℇ, F)-soft intuitionistic fuzzy rough set is constructed by a pair of intuitionistic implicators (ℇ, F). Then, we prove that (ℇ, F)-soft intuitionistic fuzzy rough sets in our
null Wenkai Shao, null Yabin Shao
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In present paper, we devote to present a generic approach to the intuitionistic fuzzy soft sets. Firstly, we obtain a broad family of soft intuitionistic fuzzy rough sets, where (ℇ, F)-soft intuitionistic fuzzy rough set is constructed by a pair of intuitionistic implicators (ℇ, F). Then, we prove that (ℇ, F)-soft intuitionistic fuzzy rough sets in our
null Wenkai Shao, null Yabin Shao
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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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Journal of Ambient Intelligence and Humanized Computing, 2023
Biplab Paik, S. Mondal
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Biplab Paik, S. Mondal
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