Paper Info
Title
Hesitant fuzzy N-soft sets: A new model with applications in decision-making
Abstract
Hesitant fuzzy set theory is a renowned approach to the formal modeling of uncertain data. An evidence of its success is that it has been extensively used in multi-attribute decision-making problems. Hesitant fuzzy computations make the decision-makers' assessments more flexible and rich, thus improving reliability of the decisions that depend on them. In this research article we introduce a novel hybrid model called hesitant fuzzy N-soft sets, which further enhances the virtues of hesitant fuzzy set theory with the benefits of N-soft sets. This theoretical model is capable of incorporating information about the occurrence of ratings or grades in a hesitant environment. We investigate some useful properties of hesitant fuzzy N-soft sets and construct fundamental operations on them. By doing so we lay the groundwork for subsequent analyses and applications. We then develop novel approaches to decision-making including TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), choice value and L-choice value based on hesitant fuzzy N-soft sets. Finally, we describe potential applications of our model and present the proposed methods as algorithms.
Year
DOI
Venue
2019
10.3233/JIFS-181972
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
N-soft sets,hesitant fuzzy sets,hesitant fuzzy N-soft set,TOPSIS,decision-making
Fuzzy logic,Artificial intelligence,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
36
6
1064-1246
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Muhammad Akram1436.36
Arooj Adeel292.15
José C. R. Alcantud333637.04