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Project portfolio selection and planning with fuzzy constraints

Author

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  • Pérez, Fátima
  • Gómez, Trinidad
  • Caballero, Rafael
  • Liern, Vicente

Abstract

Selecting a project portfolio is a complex process involving many factors and considerations from the time it is proposed to the time the project portfolio is finally selected. Given that making a good selection is of crucial importance, it is essential to develop well-founded mathematical models to lead the organization to its final goal. To achieve this, such models have to reflect as closely as possible both the real situation of the organization as well as its targets and preferences.

Suggested Citation

  • Pérez, Fátima & Gómez, Trinidad & Caballero, Rafael & Liern, Vicente, 2018. "Project portfolio selection and planning with fuzzy constraints," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 117-129.
    • Handle: RePEc:eee:tefoso:v:131:y:2018:i:c:p:117-129
    DOI: 10.1016/j.techfore.2017.07.012
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    Cited by:

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    2. Tian, Yuanyuan & Bai, Libiao & Wei, Lan & Zheng, Kanyin & Zhou, Xinyu, 2022. "Modeling for project portfolio benefit prediction via a GA-BP neural network," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Gupta, Nitish & Park, Hyunkyu & Phaal, Rob, 2022. "The portfolio planning, implementing, and governing process: An inductive approach," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Faraz Salehi & S. Mohammad J. Mirzapour Al-E-Hashem & S. Mohammad Moattar Husseini & S. Hassan Ghodsypour, 2023. "A bi-level multi-follower optimization model for R&D project portfolio: an application to a pharmaceutical holding company," Annals of Operations Research, Springer, vol. 323(1), pages 331-360, April.
    5. Patoghi, Amirhosein & Mousavi, Seyed Meysam, 2021. "A new approach for material ordering and multi-mode resource constraint project scheduling problem in a multi-site context under interval-valued fuzzy uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. Hongbo Li & Rui Chen & Xianchao Zhang, 2022. "Uncertain Public R&D Project Portfolio Selection Considering Sectoral Balancing and Project Failure," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    7. Gergő Thalmeiner & Sándor Gáspár & Ákos Barta & Zoltán Zéman, 2021. "Application of Fuzzy Logic to Evaluate the Economic Impact of COVID-19: Case Study of a Project-Oriented Travel Agency," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    8. Quezada, Luis E. & López-Ospina, Héctor A. & Ortiz, César & Oddershede, Astrid M. & Palominos, Pedro I. & Jofré, Paulina A., 2022. "A DEMATEL-based method for prioritizing strategic projects using the perspectives of the Balanced Scorecard," International Journal of Production Economics, Elsevier, vol. 249(C).
    9. Carayannis, Elias G. & Ferreira, João J.M. & Jalali, Marjan S. & Ferreira, Fernando A.F., 2018. "MCDA in knowledge-based economies: Methodological developments and real world applications," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 1-3.
    10. Seunghoon Lee & Young Hoon Lee & Yongho Choi, 2019. "Project Portfolio Selection Considering Total Cost of Ownership in the Automobile Industry," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
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    12. Ran Etgar & Yuval Cohen, 2022. "Roadmap Optimization: Multi-Annual Project Portfolio Selection Method," Mathematics, MDPI, vol. 10(9), pages 1-23, May.

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