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Issue title: Special Section: Best papers of the 2016 International Conference on Management and Operations Research - ICMOR 2016
Guest editors: Xiaoxia Huang, Qun Zhang and Qing Yang
Article type: Research Article
Authors: Zenglian, Zhang | Junyang, Ma | Yingshi, Fu*
Affiliations: Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, P.R. China
Correspondence: [*] Corresponding author. Fu Yingshi, Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, P.R. China. Tel.: +86 18811329268; E-mail: [email protected].
Abstract: Project selection is a significant decision-making process in most companies. Most previous researches focused only on the investment profit and used random variables to determine project parameters. However, in some cases, the distributions of parameters cannot be obtained from similar projects due to the rapid changing environment. So experts’ estimations will be adopted. In order to handle inaccurate estimation, an uncertainty theory is applied to solve project selection decision-making in this situation. In addition, besides considering financial aspects, the non-financial aspects including compatibility, are taken into account. A new project selection model is developed and the deterministic form of the model is given. For the sake of illustration, an example has been presented. This paper aims at proposing a new project appraisal method comprehensively considering financial and non-financial aspects.
Keywords: Uncertain programming, project selection, sustainability, compatibility
DOI: 10.3233/JIFS-169219
Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 6, pp. 4555-4561, 2017
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