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A Neutrosophic Multi-Criteria Decision Making Method

Author

Listed:
  • Athar Kharal

    (National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan)

Abstract

This work presents a method of multi-criteria decision making (MCDM) using neutrosophic sets. Besides studying some interesting mathematical properties of the method, algorithm viz neut-MCDM is presented. The work also furnishes the fundamentals of neutrosophic set theory succinctly, to provide a first introduction of neutrosophic sets for the MCDM community. To illustrate the computational details, neut-MCDM has been applied to the problem of university faculty selection against a given set of criteria.

Suggested Citation

  • Athar Kharal, 2014. "A Neutrosophic Multi-Criteria Decision Making Method," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 143-162.
    • Handle: RePEc:wsi:nmncxx:v:10:y:2014:i:02:n:s1793005714500070
    DOI: 10.1142/S1793005714500070
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    Cited by:

    1. Jeni Seles Martina Donbosco & Deepa Ganesan, 2023. "The energy of interval valued neutrosophic matrix in decision making to select the manager for the company project," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(4), pages 35-51.
    2. Himanshu Sharma & Abhishek Tandon & P. K. Kapur & Anu G. Aggarwal, 2019. "Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS," 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. 10(5), pages 973-983, October.
    3. Surapati Pramanik & Shyamal Dalapati & Shariful Alam & Florentin Smarandache & Tapan Kumar Roy, 2018. "NC-Cross Entropy Based MADM Strategy in Neutrosophic Cubic Set Environment," Mathematics, MDPI, vol. 6(5), pages 1-26, April.

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