Article ID Journal Published Year Pages File Type
391843 Information Sciences 2016 13 Pages PDF
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
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