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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Hybrid rough fuzzy soft classifier based multi-class classification model for agriculture crop selection
N. Deepa,K. Ganesan +1 more
TL;DR: The developed model has been tested with agriculture dataset and proved to be confident and robust for agriculture development and the performance of the proposed model is compared with three popular classifiers such as naïve Bayes, support vector machine and J48.
Journal ArticleDOI
Application of Fuzzy Soft Set Theory in Day to Day Problems
TL;DR: This paper selects a burning problem for the parents and applies the Fuzzy soft set theory in decision making to obtain the best feasible solution.
Journal ArticleDOI
Parameter Reduction of Fuzzy Soft Sets: An Adjustable Approach Based on the Three-Way Decision
TL;DR: This paper designs a new approach for parameter reduction based on the three-way decision methodology under fuzzy soft models and first reviews some existing approaches for reduction of a soft set.
Journal ArticleDOI
Fuzzy-valued linguistic soft set theory and multi-attribute decision-making application
Zhao Aiwu,Guan Hongjun +1 more
TL;DR: The theory of fuzzy linguistic soft set (FLSS) is proposed to represent the uncertainty and multi-angle of view when decision makers evaluate an object during decision-making and is more flexible and practical than traditional fuzzy set or 2-dimension uncertainty linguistic variable.
Journal ArticleDOI
A Multi-attribute Fuzzy Fluctuation Time Series Model Based on Neutrosophic Soft Sets and Information Entropy
TL;DR: A multi-attribute fuzzy fluctuation time series-forecasting model based on neutrosophic soft sets (NSSs) and information entropy is proposed, which describes the complex changes of the logical rule training stage from the two characteristics of the state and volatility.
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