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A hybrid grey-based fuzzy C-means and multiple objective genetic algorithms for project portfolio selection

Author

Listed:
  • Farshad Faezy Razi
  • Abbas Toloie Eshlaghy
  • Jamshid Nazemi
  • Mahmood Alborzi
  • Alireza Poorebrahimi

Abstract

Project portfolio selection is an important issue in project portfolio management (PPM) process. This paper presents a novel decision support system (DSS) to aid the manager in project portfolio selection approach. The selection model is based on grey relational analysis (GRA) with intuitionistic trapezoidal fuzzy number as well as fuzzy C-means (FCM) algorithm. The proposed approach of this paper first clusters different projects based on fuzzy C-means algorithm and then ranks various projects in each cluster by grey relational analysis (GRA) concept. Finally, Pareto combination of rank and risk in a portfolio is determined by multiple objective genetic algorithm. The proposed framework is tested in a case study to show its usefulness and applicability in practice.

Suggested Citation

  • Farshad Faezy Razi & Abbas Toloie Eshlaghy & Jamshid Nazemi & Mahmood Alborzi & Alireza Poorebrahimi, 2015. "A hybrid grey-based fuzzy C-means and multiple objective genetic algorithms for project portfolio selection," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 21(2), pages 154-179.
    • Handle: RePEc:ids:ijisen:v:21:y:2015:i:2:p:154-179
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