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A new fuzzy model for multi-criteria project portfolio selection based on modified Kerre’s inequality

Author

Listed:
  • Ali Akbar Sohrabi

    (Graduated student at Ferdowsi Univesity of Mashhad)

  • Reza Ghanbari

    (Ferdowsi University of Mashhad)

  • Khatere Ghorbani-Moghadam

    (Kharazmi University)

  • Sedigheh Sadeghi

    (Ferdowsi University of Mashhad)

Abstract

Recently, a model for project portfolio selection have been proposed. Here, to modify the proposed model, we consider the parameters of model as fuzzy numbers and we call it fuzzy project portfolio selection problem (FPPSP). Since our proposed model is NP-hard problem, then an efficient fuzzy variable neighborhood search (FVNS) algorithm for solving this model is proposed. In several methods, a FPPS is converted to a crisp problem, but in our proposed algorithm, using modified Kerre’s inequality, the fuzzy optimization problem is solved directly, without changing it to a crisp problem. Finally, in order to demonstrate the efficiency of proposed algorithm, the numerical results of FVNS algorithm are compared with the numerical results of recently proposed method.

Suggested Citation

  • Ali Akbar Sohrabi & Reza Ghanbari & Khatere Ghorbani-Moghadam & Sedigheh Sadeghi, 2024. "A new fuzzy model for multi-criteria project portfolio selection based on modified Kerre’s inequality," OPSEARCH, Springer;Operational Research Society of India, vol. 61(1), pages 33-50, March.
    • Handle: RePEc:spr:opsear:v:61:y:2024:i:1:d:10.1007_s12597-023-00685-6
    DOI: 10.1007/s12597-023-00685-6
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