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Ranking discrete fuzzy linguistic performance based on TODIM method

Author

Listed:
  • Shiyu Chen

    (Southwest University)

  • Hongming Mo

    (Southwest University)

  • Dongbo Pan

    (Southwest University)

  • Rehan Sadiq

    (University of British Columbia Okanagan)

  • Yong Deng

    (Southwest University
    Vanderbilt University)

Abstract

In the real world, the vague and imprecise information which comes from language is difficult to be dealt with. The discrete fuzzy number offers a flexible way to represent this qualitative information. In general, alternatives can be compared according to the location of core. However, when the cores are same, it needs a method to rank alternatives. In this paper, a ranking method is proposed to measure the performance of alternatives whose evaluations are represented by the discrete fuzzy number. The proposed method is based on the TODIM (an acronym in Portuguese of Interactive and Multi-criteria Decision Making) method. It ranks alternatives according to the dominance of each alternative. The experimental result shows that the proposed method is feasibility.

Suggested Citation

  • Shiyu Chen & Hongming Mo & Dongbo Pan & Rehan Sadiq & Yong Deng, 2017. "Ranking discrete fuzzy linguistic performance based on TODIM method," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 2046-2050, December.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:4:d:10.1007_s13198-014-0317-3
    DOI: 10.1007/s13198-014-0317-3
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    References listed on IDEAS

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    1. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
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