Open AccessAn algorithm for fuzzy soft set based decision making approach
Author(s) -
Shehu Mohammed Shagari,
Akbar Azam
Publication year - 2020
Publication title -
yugoslav journal of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 21
eISSN - 1820-743X
pISSN - 0354-0243
DOI - 10.2298/yjor190715026m
Subject(s) - soft set , computer science , novelty , set (abstract data type) , soft computing , fuzzy set , artificial intelligence , algorithm , table (database) , fuzzy logic , fuzzy cognitive map , fuzzy set operations , machine learning , data mining , philosophy , theology , programming language
The notion of soft set theory was initiated as a general mathematical tool for handling ambiguities. Decision making is viewed as a cognitive-based human activity for selecting the best alternative. In the present time, decision making techniques based on fuzzy soft sets have gained enormous attentions. On this development, this paper proposes a new algorithm for decision making in fuzzy soft set environment by hybridizing some existing techniques. The first novelty is the idea of absolute scores. The second concerns the concept of priority table in group decision making problems. The advantages of our approach herein are stronger power of objects discrimination and a well-determined inference.