Soft set theory—First results
TLDR
The main purpose of this paper is to introduce the basic notions of the theory of soft sets, to present the first results of the the theory, and to discuss some problems of the future.Abstract:
The soft set theory offers a general mathematical tool for dealing with uncertain, fuzzy, not clearly defined objects. The main purpose of this paper is to introduce the basic notions of the theory of soft sets, to present the first results of the theory, and to discuss some problems of the future.read more
Citations
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Journal ArticleDOI
Algorithms Based on COPRAS and Aggregation Operators with New Information Measures for Possibility Intuitionistic Fuzzy Soft Decision-Making
Harish Garg,Rishu Arora +1 more
TL;DR: Novel algorithms for solving the multiple attribute decision-making problems under the possibility intuitionistic fuzzy soft set (PIFSS) information are presented and some new operation laws, score function, and comparison laws between the pairs of the PIFSSs are presented.
Posted Content
IFP-Intuitionistic fuzzy soft set theory and its applications
TL;DR: IFP-aggregation operator is defined to form IFP-intuitionistic fuzzy soft-decision-making method which allows constructing more efficient decision processes.
On fuzzy soft rings
TL;DR: The notions of fuzzy soft ideal of a fuzzysoft ring, idealistic fuzzy soft ring and soft homomorphism between fuzzy soft rings are discussed and some of their properties are discussed.
Book ChapterDOI
Similarity Approach on Fuzzy Soft Set Based Numerical Data Classification
Bana Handaga,Mustafa Mat Deris +1 more
TL;DR: This paper proposes the new numerical data classification based on similarity fuzzy soft sets (FSSC), which can be applied to text classification, and can also be used in general numerical data Classification.
Fuzzy Parameterized Fuzzy Soft Expert Set
TL;DR: This paper introduces the concept of fuzzy parameterized fuzzysoft expert set as a generalization of fuzzy soft expert set by giving a membership value for each parameter in a set of parameters.
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