Approaches to multiple attribute decision making with hesitant interval-valued fuzzy information under correlative environment

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 E...

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Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2014, Vol.27 (2), p.1057-1065
Main Authors: Zhu, Jian-Qi, Fu, Feng, Yin, Ke-Xin, Luo, Jia-Qian, Wei, Da
Format: Article
Language:English
Subjects:
Agglomeration
Computer programs
Correlation
Decision making
Fuzzy
Fuzzy logic
Fuzzy set theory
Operators
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Summary: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.
ISSN:1064-1246
DOI:10.3233/IFS-131066