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Cognitive Computation

, Volume 10, Issue 4, pp 610–624 | Cite as

On Intuitionistic Fuzzy Copula Aggregation Operators in Multiple- Attribute Decision Making

  • Zhifu Tao
  • Bing Han
  • Huayou Chen
Article

Abstract

Operations of intuitionistic fuzzy values have been widely studied and have attracted significant interest. In this paper, some other operations on intuitionistic fuzzy values on the basis of Archimedean copulas and corresponding co-copulas are introduced. Such novel operations can show the relevance between intuitionistic fuzzy values. A family of weighted aggregation operators are developed according to the proposed operations, i.e., the intuitionistic fuzzy copula aggregation operator. The properties of the novel operations and the weighted aggregation operators are also considered. In the end, we provide a modified maximizing deviation decision procedure for multiple attributes decision making under intuitionistic fuzzy environment, and show a case study to illustrate the application of the proposed approach.

Keywords

Multiple attribute decision making Atanassov’s intuitionistic fuzzy information Copula Modified maximizing deviation Intuitionistic fuzzy copula aggregation operator 

Notes

Acknowledgements

The authors first want to thank the Editor-in-Chief Professor Amir Hussain, the associate Editor and four anonymous referees for their constructive and valuable comments, which have much improved the paper.

Funding Information

The work was supported by National Natural Science Foundation of China (Nos. 71771001, 71701001, 71301001, 71371011, 71501002), the Anhui Provincial Philosophy and Social Science Planning Youth Foundation (No. AHSKQ2016D13), the Doctoral Scientific Research Foundation of Anhui University, the Provincial Natural Science Research Project of Anhui Colleges (No. KJ2015A379), and the Scientific Research Foundation of Hebei Education Department (QN2017060).

Compliance with Ethical Standards

This manuscript has not been published in whole or in part elsewhere, which has also not currently being considered for publication in another journal. All authors have been personally and actively involved in substantive work leading to the manuscript, and will hold themselves jointly and individually responsible for its content.

Conflict of Interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of EconomicsAnhui UniversityHefeiChina
  2. 2.School of Mathematical SciencesAnhui UniversityHefeiChina

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