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Picture Fuzzy N-Soft Sets and Their Applications in Decision-Making Problems.
- Source :
- Fuzzy Information & Engineering (Taylor & Francis Ltd); Sep2021, Vol. 13 Issue 3, p335-367, 33p
- Publication Year :
- 2021
-
Abstract
- In this article, firstly, we describe picture fuzzy N-soft sets (PFN-SSs) as a generalization of picture fuzzy sets (PFSs) and N-soft sets (N-SS) by observing that one of the essential concept of neutral grade is missing in intuitionistic fuzzy N-SS (IFN-SS) theory. The concept of neutrality grade can be observed in the situation when we encounter human views including more answers of type: yes, abstain, no, refusal. For instance, in election the election commission or election council issues voting papers for the candidate. The voting outcomes are categorized into 4 groups with the number of papers namely, vote for, abstain, vote against, and refusal voting. Further, We define the fundamental properties of PFN-SS and introduce M-subset, F-subset, compliment, intersections, unions, of PFN-SS and give their examples. Secondly, we define an algorithm to cope with PFN-SS data which is more generalized then the algorithm defined for IFN-SS. To show the advantage and usefulness of the defined technique, we give two examples from real life by utilizing PFN-SS data. The result shows in the comparison that our initiated method is more general and suitable than the IFN-SS, fuzzy N-SS (FN-SS), and N-SS. [ABSTRACT FROM AUTHOR]
- Subjects :
- FUZZY sets
DECISION making
VOTING
ALGORITHMS
ELECTION boards
Subjects
Details
- Language :
- English
- ISSN :
- 16168658
- Volume :
- 13
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Fuzzy Information & Engineering (Taylor & Francis Ltd)
- Publication Type :
- Academic Journal
- Accession number :
- 152625432
- Full Text :
- https://doi.org/10.1080/16168658.2021.1943187