Multi-Criteria Optimization for Governmental Projects Priority Ranking Depending on Fuzzified Experts’ Opinion using Hygiene Approach

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Ahmed Reyadh Radhi
Abbas M. Burhan

Abstract

Each organization struggles to exploit each possible opportunity for gaining success and continuing with its work carrier. In this field, organization success can be concluded by fulfilling end user requirements combined with optimizing available resources usage within a specified time and acceptable quality level to gain maximum profit. The project ranking process is governed by the multi-criteria environment, which is more difficult for the governmental organization because other organizations' main target is maximizing profit constrained with available resources. The governmental organization should consider human, social, economic and many more factors. This paper focused on building a multi-criteria optimizing projects ranking framework using hygiene methodology from sequential stages. The proposed framework can deal with numerical and linguistic criteria considering experts, or consultant evaluation on projects, in addition to criteria weights. Fuzzy logic and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) methods are used to control the ranking process within a limited allocated budget. The importance of the proposed approach is making projects ranking getting out from dependence on economic measures that govern the overall process to non – measurable criteria that affect organization success and the proposed projects selection process.


 

Article Details

How to Cite
“Multi-Criteria Optimization for Governmental Projects Priority Ranking Depending on Fuzzified Experts’ Opinion using Hygiene Approach” (2022) Journal of Engineering, 28(12), pp. 113–124. doi:10.31026/j.eng.2022.12.08.
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Articles

How to Cite

“Multi-Criteria Optimization for Governmental Projects Priority Ranking Depending on Fuzzified Experts’ Opinion using Hygiene Approach” (2022) Journal of Engineering, 28(12), pp. 113–124. doi:10.31026/j.eng.2022.12.08.

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