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Extended Version of Linguistic Picture Fuzzy TOPSIS Method and Its Applications in Enterprise Resource Planning Systems

Author

Listed:
  • Shouzhen Zeng
  • Muhammad Qiyas
  • Muhammad Arif
  • Tariq Mahmood

Abstract

The main objective of the proposed research in this paper is introducing an extended version of the linguistic picture fuzzy TOPSIS technique and then solving the problems in enterprise resource planning systems. In this article, we use the uncertain information in terms of linguistic picture fuzzy numbers; the decision maker provides membership, neutral, and nonmembership fuzzy linguistic terms to represent uncertain assessments information of alternatives in linguistic multicriteria decision making (LMCDMs). In order to introduce the extended version of TOPSIS method, we defined a new hamming distance measure between two linguistic picture fuzzy numbers. Further, we apply the proposed method to problem of enterprise resource planning systems and discuss numerical implementation of the proposed method of LMCDM.

Suggested Citation

  • Shouzhen Zeng & Muhammad Qiyas & Muhammad Arif & Tariq Mahmood, 2019. "Extended Version of Linguistic Picture Fuzzy TOPSIS Method and Its Applications in Enterprise Resource Planning Systems," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, January.
    • Handle: RePEc:hin:jnlmpe:8594938
    DOI: 10.1155/2019/8594938
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    Cited by:

    1. Muhammad Qiyas & Saleem Abdullah & Shahzaib Ashraf & Lazim Abdullah, 2019. "Linguistic Picture Fuzzy Dombi Aggregation Operators and Their Application in Multiple Attribute Group Decision Making Problem," Mathematics, MDPI, vol. 7(8), pages 1-22, August.
    2. Arshad Ahmad Khan & Muhammad Qiyas & Saleem Abdullah & Jianchao Luo & Mahwish Bano, 2019. "Analysis of Robot Selection Based on 2-Tuple Picture Fuzzy Linguistic Aggregation Operators," Mathematics, MDPI, vol. 7(10), pages 1-19, October.

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