Results 201 to 210 of about 19,762 (232)

More on Intuitionistic Fuzzy Soft Sets

2009
New 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

2015
The 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, 2015
In 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 soft intuitionistic fuzzy rough sets determined by a pair of intuitionistic fuzzy implicators

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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Interval-Valued Intuitionistic Fuzzy Soft Rough Sets

2015
In 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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Decision-Making Method That Prioritizes User Ranking by Using Intuitionistic Fuzzy Soft Set

Karadeniz Fen Bilimleri Dergisi
Decision-making holds significant importance in real life applications. To manage uncertainties in practical applications, soft sets, fuzzy sets and fuzzy soft sets are commonly used nowadays. Also, the effectiveness of intuitionistic fuzzy soft sets has
Gözde Yaylalı Umul
semanticscholar   +1 more source

Intuitionistic Fuzzy Soft Boolean Rings

International Journal of Analysis and Applications
Maji et al. [10] presented the idea of intuitionistic fuzzy soft sets (IFSSs), which build on intuitionistic fuzzy sets (IFSs) and soft sets. In this paper, we extend the notion of IFSs to Boolean rings (BRs).
Gadde S. Rao, D. Ramesh, A. Iampan, B. Satyanarayana, P. Rajani   +4 more
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Recognition of cancer mediating biomarkers using rough approximations enabled intuitionistic fuzzy soft sets based similarity measure

Applied Soft Computing, 2022
Swarup Kr Ghosh, Anupam Ghosh, S. Bhattacharyya   +2 more
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KOEFISIEN KORELASI DIPERUMUM PADA INTUITIONISTIC FUZZY SOFT SET [PDF]

, 2022
Koefisien korelasi antara dua variabel memegang peranan penting dalam statistika. Kesempurnaan dalam perhitungan korelasi bergantung kepada data yang dikumpulkan. Adapun data statistik yang dikumpulkan terkadang bersifat ambigu/tidak pasti. Oleh karena itu, koefisien korelasi antar variabel pada statistika diperluas ke koefisien korelasi antara ...
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