RT Journal Article
T1 A fuzzy hybrid project portfolio selection method using Data Envelopment Analysis, TOPSIS and Integer Programming
A1 Tavana, Madjid
A1 Keramatpour, Mehdi
A1 Ghorbaniane, Esmail
A1 Santos Arteaga, Francisco Javier
AB Project 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.
PB Elsevier
SN 0957-4174
YR 2015
FD 2015-12-01
LK https://hdl.handle.net/20.500.14352/126489
UL https://hdl.handle.net/20.500.14352/126489
LA eng
NO Madjid 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.
DS Docta Complutense
RD 19 dic 2025