Tavana, MadjidKeramatpour, MehdiGhorbaniane, EsmailSantos Arteaga, Francisco Javier2025-11-252025-11-252015-12-01Madjid Tavana, Mehdi Keramatpour, Francisco J. Santos-Arteaga, Esmail Ghorbaniane, A fuzzy hybrid project portfolio selection method using Data Envelopment Analysis, TOPSIS and Integer Programming, Expert Systems with Applications, Volume 42, Issue 22, 2015, Pages 8432-8444, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2015.06.057.0957-417410.1016/j.eswa.2015.06.057https://hdl.handle.net/20.500.14352/126489Project selection and resource allocation are critical issues in project-based organizations. These organizations are required to plan, evaluate, and control their projects in accordance with the organizational mission and objectives. In this study, we propose a three-stage hybrid method for selecting an optimal combination of projects. We obtain the maximum fitness between the final selection and the project initial rankings while considering various organizational objectives. The proposed model is comprised of three stages and each stage is composed of several steps and procedures. We use Data Envelopment Analysis (DEA) for the initial screening, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for ranking the projects, and linear Integer Programming (IP) for selecting the most suitable project portfolio in a fuzzy environment according to organizational objectives. Finally, a case study is used to demonstrate the applicability of the proposed method and exhibit the efficacy of the algorithms and procedures.engjournal articlehttps://www.sciencedirect.com/science/article/pii/S0957417415004595metadata only access519.8Project portfolio selectionData EnvelopmentAnalysisFuzzy TOPSISLinear Integer ProgrammingAugmented scoresInvestigación operativa (Matemáticas)1207 Investigación Operativa