Project selection using fuzzy linear programming model

Iman Maleki, Hashem Omrani, Reza Ghodsi and Abdollah Khoei

International Journal of Operational Research, 2014, vol. 19, issue 2, 211-233

Abstract: In this paper, a fuzzy linear programming model is presented for selecting the proper project and obtaining budget at the end of tth period. The real world uncertainties are considered through fuzzy concepts and a linear programming model is proposed to model the uncertainty in data. The tax and depreciation are incorporated into the proposed model and the investments are considered as investment projects. The model allows considering different rate of return for each project. Finally, to illustrate the application of the proposed model, a numerical example is solved.

Keywords: fuzzy linear programming; project selection; internal rate of return; uncertainties; tax; depreciation; investment projects; modelling. (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:19:y:2014:i:2:p:211-233

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