A Distance-Based Parameter Reduction Algorithm of Fuzzy Soft Sets | Zendy

Xiuqin Ma | Zendy; Hongwu Qin | Zendy

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A Distance-Based Parameter Reduction Algorithm of Fuzzy Soft Sets

Author(s) -

Xiuqin Ma,

Hongwu Qin

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2800017

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Kong et al. introduced the concept of normal parameter reduction in fuzzy soft sets. However, due to entries of fuzzy soft sets belonging to the unit interval [0, 1], it is nearly impossible to obtain the normal parameter reduction of fuzzy soft sets in the real applications. At the same time, this method involves a great amount of computation. In order to solve these problems, in this paper, we propose a distance-based parameter reduction of fuzzy soft set, which has much higher applicability and involves much less computation compared with the method of normal parameter reduction of fuzzy soft sets. Two case studies and twenty synthetic generated datasets show our contributions.

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