Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
391843 | Information Sciences | 2016 | 13 Pages |
Abstract
There exist several types of hesitant fuzzy set (HFS) ranking techniques that have been widely used for handling multi-attribute decision making problems with HFS information. The main goal of this paper is to present firstly a brief study of some existing HFS ranking techniques by emphasizing their counterintuitive examples, and then a novel HFS ranking technique is introduced based on the idea of lexicographical ordering.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
B. Farhadinia,