Research on Interval-valued Intuitionistic Fuzzy Multi-attribute Decision Making Based on Projection Model

(E-pub Abstract Ahead of Print)

Author(s): Sha Fu*, Xi-long Qu, Ye-zhi Xiao, Hang-jun Zhou, Yun Zhou.

Journal Name: Recent Advances in Computer Science and Communications
Formerly: Recent Patents on Computer Science

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Background: Regarding the multi-attribute decision making where the decision information is the interval-valued intuitionistic fuzzy number and the attribute weight information is not completely determined.

Method: Intuitionistic fuzzy set theory introduces non-membership function, as an extension of the fuzzy set theory, it has certain advantages in solving complex decision making problems. a projection model based interval-valued intuitionistic fuzzy multi-attribute decision making scheme was proposed in this study. The objective weight of the attribute was obtained using improved interval-valued intuitionistic fuzzy entropy, and thus the comprehensive weight of the attribute was obtained according to the preference information.

Results: In the aspect of the decision-making matrix processing, the concept of interval-valued intuitionistic fuzzy ideal point and its related concepts were defined, the score vector of each scheme was calculated, the projection model was constructed to measure the similarity between each scheme and the interval-valued intuitionistic fuzzy ideal point, and the scheme was sorted according to the projection value.

Conclusion: The efficiency and usability of the proposed approach are considered on the case study.

Keywords: Interval-Valued Intuitionistic Fuzzy Number, Multi-Attribute Decision Making, Interval-Valued Intuitionistic Fuzzy Entropy, Score Vector, Projection Model

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Article Details

(E-pub Abstract Ahead of Print)
DOI: 10.2174/2666255813666191119102344
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