Title
Approaches to multiple attribute decision making with hesitant interval-valued fuzzy information under correlative environment.
Abstract
In this paper, we investigate the multiple attribute decision making (MADM) problems with hesitant interval-valued fuzzy information. Then, we further develop some new Einstein aggregation operators with hesitant interval-valued fuzzy information, such as the induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator and induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator. Then, we apply the induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator and induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator to deal with multiple attribute decision making under the hesitant interval-valued fuzzy environments. Finally, an illustrative example for evaluating software quality is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Year
DOI
Venue
2014
10.3233/IFS-131066
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Multiple attribute decision making (MADM),hesitant interval-valued fuzzy values,Einstein aggregation operators,induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator,induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator
Journal
27
Issue
ISSN
Citations 
2
1064-1246
3
PageRank 
References 
Authors
0.37
0
5
Name
Order
Citations
PageRank
Jianqi Zhu1625.74
Feng Fu280.80
KeXin Yin3102.55
Jia-Qian Luo430.37
Wei Da5222.31