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
Entropy, similarity measure and distance measure of vague soft sets and their relations
Chang Wang,Anjing Qu +1 more
TL;DR: This paper introduces axiomatic definitions of entropy, similarity measure and distance measure for vague soft sets, and some formulas have also been put forward to calculate them.
Journal ArticleDOI
Soft fuzzy rough set-based MR brain image segmentation
TL;DR: A hybrid segmentation algorithm based on soft sets namely soft fuzzy rough c-means is proposed to extract the white matter, gray matter and the cerebro spinal fluid from MR brain image with bias field correction.
Journal ArticleDOI
Soft Ideal Theory Soft Local Function and Generated Soft Topological Spaces
TL;DR: The notion of soft ideal in soft set theory is introduced and the concept of soft local function is also introduced with a view to find new soft topologies from the original one.
Journal ArticleDOI
TOPSIS Method Based on Correlation Coefficient under Pythagorean Fuzzy Soft Environment and Its Application towards Green Supply Chain Management
Rana Muhammad Zulqarnain,Xiao Long Xin,Imran Siddique,Waseem Asghar Khan,Mogtaba Ahmed Yousif +4 more
TL;DR: Through the proposed methodology, a technique for decision-making is developed and an application of the proposed TOPSIS technique is presented for green supplier selection in green supply chain management (GSCM).
Journal ArticleDOI
An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets
Tingquan Deng,Xiaofei Wang +1 more
TL;DR: New notions of complete distance between two objects and relative dominance degree between two parameters are introduced and an object-parameter method is proposed to predict unknown data in incomplete fuzzy soft sets.
References
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