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The generalized hybrid weighted average operator based on interval neutrosophic hesitant set and its application to multiple attribute decision making.

Authors :
Liu, Peide
Shi, Lanlan
Source :
Neural Computing & Applications. Feb2015, Vol. 26 Issue 2, p457-471. 15p.
Publication Year :
2015

Abstract

The Neutrosophic set and Hesitant set are the important and effective tools to describe the uncertain information. In this paper, we combine the interval neutrosophic sets and interval-valued hesitant fuzzy sets, and propose the concept of the interval neutrosophic hesitant fuzzy set (INHFS) in order to use the advantages of them. Then, we present the operations and comparison method of INHFS, and develop some new aggregation operators for the interval neutrosophic hesitant fuzzy information, including interval neutrosophic hesitant fuzzy generalized weighted operator, interval neutrosophic hesitant fuzzy generalized ordered weighted operator, and interval neutrosophic hesitant fuzzy generalized hybrid weighted operator, and discuss some properties. Furthermore, we propose the decision-making method for multiple attribute group decision making with interval neutrosophic hesitant fuzzy information, and give the detail decision steps. Finally, we give an illustrate example to show the process of decision making. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09410643
Volume :
26
Issue :
2
Database :
Academic Search Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
100630321
Full Text :
https://doi.org/10.1007/s00521-014-1736-4