Results 181 to 190 of about 933 (208)
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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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Generalized interval-valued hesitant intuitionistic fuzzy soft sets
Journal of Intelligent & Fuzzy Systems, 2021This paper aims to extend the Interval-valued Intuitionistic Hesitant Fuzzy Set to a Generalized Interval-valued Hesitant Intuitionistic Fuzzy Soft Set (GIVHIFSS). Definition of a GIVHIFSS and some of their operations are defined, and some of their properties are studied. In these GIVHIFSSs, the authors have defined complement, null, and absolute. Soft
Admi Nazra +4 more
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Intuitionistic fuzzy parameterized fuzzy soft set theory and its application
Journal of Intelligent & Fuzzy Systems, 2018This paper presents the opinion of intuitionistic fuzzy parameterized fuzzy soft set (IFP-FS set) by considering the images of approximate function in the fuzzy subsets of the set of universe of discourse rather than to a crisp subset. Some of the desired operations and relations of IFP-FS set are also considered in this study.
Bhagawati Prasad Joshi +4 more
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New algorithms for parameter reduction of intuitionistic fuzzy soft sets
Computational and Applied Mathematics, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abid Khan, Yuanguo Zhu
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International Journal of Fuzzy Systems, 2015
In this paper, a similarity measure between intuitionistic fuzzy soft sets based on Hausdorff distance is defined and a possible application of this measure in medical diagnosis is presented. Also, Hamming and Euclidean distances are defined for interval-valued fuzzy soft and interval-valued intuitionistic fuzzy soft sets.
Asma Khalid +2 more
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In this paper, a similarity measure between intuitionistic fuzzy soft sets based on Hausdorff distance is defined and a possible application of this measure in medical diagnosis is presented. Also, Hamming and Euclidean distances are defined for interval-valued fuzzy soft and interval-valued intuitionistic fuzzy soft sets.
Asma Khalid +2 more
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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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Relations on Intuitionistic Fuzzy Soft Multi Sets
2015The theory of soft set and multiset are vital mathematical tools used in handling uncertainties about vague concepts. In this paper we define a new operation product of two intuitionistic fuzzy soft multi setsand present the concept of relations in intuitionistic fuzzy soft multi set. The notions of null relation and absolute relation are to be defined.
Anjan Mukherjee, Ajoy Kanti Das
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Generalized Trapezoidal Intuitionistic Fuzzy Soft Sets in Risk Analysis
International Journal of Applied and Computational Mathematics, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Soumi Manna +2 more
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Intuitionistic fuzzy soft set theory and its decision making
Journal of Intelligent & Fuzzy Systems, 2013In this work, we first defined the intuitionistic fuzzy soft sets (IFS-sets) and their operations. By using them, we then give some results and construct a decision making method. Finally, we give an application which shows that this approach is useful to handle several realistic uncertain problems.
Naim Çagman, Serkan Karatas
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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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