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Soft Incomplete Discernibility Matrix for Decision-Making Problems
IEEE Access, 2018 Many decision-making processes are determined in an incomplete data environment. The analysis of decision-making problems on incomplete soft set data is usually performed by first estimating incomplete values.
Lue Li +3 more
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Journal of Intelligent & Fuzzy Systems, 2015 Abstract In this work, we first define picture fuzzy soft sets and study some of their relevant properties, especially, a sufficient and necessary condition is presented to ensure that the dual laws are true in picture fuzzy soft theory.
Yong Yang +3 more
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Mathematics, 2019 The basic idea underneath the generalized intuitionistic fuzzy soft set is very constructive in decision making, since it considers how to exploit an extra intuitionistic fuzzy input from the director to make up for any distortion in the information ...
Muhammad Jabir Khan +4 more
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A discernibility matrix approach to fuzzy soft sets based decision making problems
Intelligent Data Analysis, 2018 Soft set theory can be used as a general mathematical tool for dealing with uncertainty. Fuzzy soft set is a combination of fuzzy set and soft set. There has some progress associated with practical applications of fuzzy soft set theory, especially the use of fuzzy soft sets in decision making.
Qinrong Feng, Fenfen Wang
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Soft discernibility matrix and attribute reduction for information systems
Tongxin xuebao, 2009 A new concept of soft discernibility matrix was proposed, and related theorems were given. By using soft discernibility matrix,attribute reductions of incomplete information systems, fuzzy value information systems and vague sets value information ...
YAN De-qin1, LI Ke-qiu2, CHI Zhong-xian2
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Heart disease prediction using rough neutrosophic sets and dual-attention neural networks: RNS-OptiDANet [PDF]
Frontiers in Artificial IntelligenceIntroductionHeart disease is a major global health problem that highlights the need for effective and accurate prediction methods.MethodsThis paper presents RNS-OptiDANet, a hybrid framework that combines rough set theory (RST), rough neutrosophic sets ...
T. Ashika, G. Hannah Grace
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Another View on Picture Fuzzy Soft Sets and Their Product Operations with Soft Decision-Making
Journal of New Theory, 2022 Cuong [Picture Fuzzy Sets, Journal of Computer Science and Cybernetics 30 (4) (2014) 409–420] has introduced the concept of picture fuzzy soft sets (pfs-sets) relying on his definition and operations of picture fuzzy sets (pf -sets), in which there exist
Samet Memiş
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Pertanika Journal of Science and Technology, 2023 Parameter reduction without performance degradation is a promising task in decision-making problems. For instance, a great challenge exists in constructing cost functions in gaming theory. Nevertheless, soft set theory handles all its drawbacks conveniently through a new tool for the choice function mathematically.
Menaga Anbumani, Kannan Kaniyaiah
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Characterizations for Matrices of Dominant Support Parameters in Soft Sets
IEEE Access, 2020 The matrix of dominant support parameters plays an important role in solving the normal and pseudo parameter reduction problems for soft sets. This article aims to make a fundamental investigation on the properties of matrix of dominant support ...
Banghe Han +3 more
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Discernibility matrix based incremental feature selection on fused decision tables
International Journal of Approximate Reasoning, 2020 In rough set philosophy, each set of data can be seen as a fuzzy decision table. Since a decision table dynamically increases with time and space, these decision tables are integrated into a new one called fused decision table. In this paper, we focus on
Suyun Zhao, Xizhao Wang
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