Work

New Normal Parameter Reduction Method in Fuzzy Soft Set Theory

Year: 2018

Type: article

Abstract: 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.

Source: IEEE Access

DOI: 10.1109/access.2018.2888878

Authors: Zhi Kong, Jianwei Ai, Lifu Wang, Piyu Li, Lianjie Ma, Fuqiang Lu

Institution: Northeastern University

Language: English

Topic: Fuzzy and Soft Set Theory

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,075

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Fundamental Research Funds for the Central Universities