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Mohammad Majid Fouladgar

Researcher at Islamic Azad University

Publications -  9
Citations -  678

Mohammad Majid Fouladgar is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Multiple-criteria decision analysis & SWOT analysis. The author has an hindex of 8, co-authored 9 publications receiving 573 citations. Previous affiliations of Mohammad Majid Fouladgar include Tarbiat Modares University.

Papers
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Selecting the optimal renewable energy using multi criteria decision making

TL;DR: The results of this paper demonstrate the capability and effectiveness of the proposed model in selecting the most appropriate renewable energy option among the existing alternatives.
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Maintenance strategy selection using AHP and COPRAS under fuzzy environment

TL;DR: A new fuzzy MCDM method based on the concepts of COPRAS (COmplex PRoportional ASsessment) and AHP (Analytical Hierarchy Process) was proposed to evaluate the feasible maintenance strategy.
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Risk evaluation of tunneling projects

TL;DR: In this paper, a real world case study is presented to show the effectiveness and the accuracy of the new risk evaluation model, and the results demonstrated that collapse is the riskiest parameter in Ghomroud water conveyance tunneling project.
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Ranking the strategies of mining sector through anp and topsis in a swot framework

TL;DR: An integrated model for prioritizing the strategies of Iranian mining sector is proposed using the SWOT analysis to assign feasible strategies, ANP was applied in order to obtain the weight of SWOT factors, and the strategies were ranked through TOPSIS technique.
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An integrated model for prioritizing strategies of the iranian mining sector: Irano kasybos sektoriaus strategijų prioriteto nustatymo integruotas modelis

TL;DR: Fuzzy multi criteria decision making (FMCDM) techniques are appropriate tools to prioritize under sophisticated environmental and Balanced Scorecard is a management system that helps organizations at dealing with today's pace of business and enables business managers to make better decisions.