Open AccessAn Enhanced Approach for Decision Support System Using Fuzzy Soft Set
Author(s) -
P. Jayagowri,
S. Panneer Arockiaraj,
R. Karthik
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1964/4/042087
Subject(s) - sophistication , fuzzy set , computer science , fuse (electrical) , parametric statistics , soft set , decision table , rough set , table (database) , process (computing) , set (abstract data type) , decision theory , decision support system , fuzzy logic , set theory , management science , artificial intelligence , data mining , mathematics , engineering , social science , statistics , sociology , electrical engineering , programming language , operating system
The support group issue of choice has been vague in recent years and has played a major role. There was an additional method for the approval of articles from infinite multi-spectator results. This approach includes the preparation of a parametric comparison table for a decision support device for a floating soft array. Real issues change in the fields of engineering, municipal and medical science, economics, and how they can be resolved depending on the sophistication and inexactness of the concepts of mathematics. In recent years, a new form of inference was designed to deal with those systems effectively. All these include fuse theory, probability theory, contradictory sets, intuitive fuse sets, rough sets theory, statistical interval theory, etc. that can be used to solve different forms of system-integrated complexity and inaccuracy. Both of these proposals are linked to an inherent disadvantage, though, which is that the parameterization process of both hypotheses is inadequate.