TY  - JOUR
AB  - Purpose– The purpose of this paper is to develop a systematic and comprehensive project selection model utilizing fuzzy multi-objective linear programming (FMOLP) that deals with the imprecise data in IS projects and uncertain judgment of decision makers. Design/methodology/approach– First, projects are prioritized by considering both quantitative and qualitative factors. A fuzzy analytical hierarchical process (FAHP) is used in order to obtain weights of each project that indicates their priorities. At the second step, project selection decision is completed by using FMOLP. Then, the sensitivity analysis is performed to evaluate the robustness of the proposed integrated model. Findings– The result of this study indicates that an integrated approach utilizing FAHP and FMOLP can be used as a supportive tool for project selection in IS context. It decreases the uncertainty caused from uncertain judgment of decision makers. Research limitations/implications– Future studies are suggested to design models having fuzzy constraints such as budget and resources. Moreover, for future studies, non-linear membership functions can be used. Practical implications– Actual projects are provided from the Turkish IS company for prioritizing process and a hypothetical mathematical model is demonstrated using illustrative data. Originality/value– This study contributes to the relevant literature by proposing a comprehensive model considering many conflicting ideas of decision makers on quantitative and qualitative criteria, and evaluating projects in an integrated way including FAHP and FMOLP.
VL  - 27
IS  - 3
SN  - 1741-0398
DO  - 10.1108/JEIM-12-2013-0091
UR  - https://doi.org/10.1108/JEIM-12-2013-0091
AU  - Bolat Bersam
AU  - Çebi Ferhan
AU  - Tekin Temur Gül
AU  - Otay İrem
ED  - Dr Cengiz Kahraman, Dr Başar Öztayşi, Dr Özgür Kabak and Dr İrem Uçal Sarı
PY  - 2014
Y1  - 2014/01/01
TI  - A fuzzy integrated approach for project selection
T2  - Journal of Enterprise Information Management
PB  - Emerald Group Publishing Limited
SP  - 247
EP  - 260
Y2  - 2024/04/25
ER  -