New Normal Parameter Reduction Method in Fuzzy Soft Set Theory

Soft set theory is a good tool to deal with uncertain problems. The study of reduction problem is an important part of soft set theory. Different decision-making criteria lead to different reduction methods. In this paper, the problem of parameter reduction of soft sets is studied based on the score...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.2986-2998
Main Authors: Kong, Zhi, Ai, Jianwei, Wang, Lifu, Li, Piyu, Ma, Lianjie, Lu, Fuqiang
Format: Article
Language:English
Subjects:
Approximation algorithms
Criteria
Decision making
Decision theory
dispensable set
Fuzzy set theory
Fuzzy sets
fuzzy soft set
Mathematical model
parameter reduction
Parameters
Reduction
Rough sets
Set theory
Soft set
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Summary:Soft set theory is a good tool to deal with uncertain problems. The study of reduction problem is an important part of soft set theory. Different decision-making criteria lead to different reduction methods. In this paper, the problem of parameter reduction of soft sets is studied based on the score decision criteria. Four cases of dispensable sets are discussed in parameter reduction. Then, a newly parameter reduction method is proposed. Finally, a comparison is shown between the new proposed parameter reduction method and the previous parameter reduction method based on the choice value decision criteria, and remarks are given.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2888878