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Intuitionistic fuzzy multi-criteria group decision making with an application to critical path selection

Author

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  • Mukesh Kumar Mehlawat

    (University of Delhi)

  • Nishtha Grover

    (University of Delhi)

Abstract

In this paper, we develop a new fuzzy multi-criteria group decision making method using triangular intuitionistic fuzzy numbers (TIFNs) for determining critical path in a critical path problem (CPP). The CPP considered here involves both quantitative and qualitative assessments of the decision makers on multiple conflicting criteria. The intuitionistic fuzzy numbers are introduced since they consider both preferences and non-preferences simultaneously and are thus capable of representing qualitatively evaluated information more effectively than fuzzy sets. The proposed method involves fuzzy evaluation based on the extended preference relation of TIFNs using $$(\alpha ,\beta )$$ ( α , β ) -cuts considered for preferences and non-preferences, respectively. The preference intensity function based on the extended preference relation of TIFNs leads to the strength and weakness index scores of the possible paths on given criteria. Furthermore, we define the total performance score of each project path using its strength and weakness index scores. The path that has the highest score is selected as the best alternative in terms of its criticality for the entire project to finish as per the chosen criteria. A numerical illustration is provided to demonstrate working of the proposed methodology.

Suggested Citation

  • Mukesh Kumar Mehlawat & Nishtha Grover, 2018. "Intuitionistic fuzzy multi-criteria group decision making with an application to critical path selection," Annals of Operations Research, Springer, vol. 269(1), pages 505-520, October.
    • Handle: RePEc:spr:annopr:v:269:y:2018:i:1:d:10.1007_s10479-017-2477-4
    DOI: 10.1007/s10479-017-2477-4
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    References listed on IDEAS

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    1. Chen, Shih-Pin, 2007. "Analysis of critical paths in a project network with fuzzy activity times," European Journal of Operational Research, Elsevier, vol. 183(1), pages 442-459, November.
    2. James E. Kelley, 1961. "Critical-Path Planning and Scheduling: Mathematical Basis," Operations Research, INFORMS, vol. 9(3), pages 296-320, June.
    3. Chanas, Stefan & Zielinski, Pawel, 2002. "The computational complexity of the criticality problems in a network with interval activity times," European Journal of Operational Research, Elsevier, vol. 136(3), pages 541-550, February.
    4. Slyeptsov, Anatoliy I. & Tyshchuk, Tetyana A., 2003. "Fuzzy temporal characteristics of operations for project management on the network models basis," European Journal of Operational Research, Elsevier, vol. 147(2), pages 253-265, June.
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