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Meysam Shaverdi

Researcher at University of Saskatchewan

Publications -  12
Citations -  257

Meysam Shaverdi is an academic researcher from University of Saskatchewan. The author has contributed to research in topics: Multiple-criteria decision analysis & Fuzzy logic. The author has an hindex of 7, co-authored 12 publications receiving 221 citations. Previous affiliations of Meysam Shaverdi include Islamic Azad University & U.S. Securities and Exchange Commission.

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Application of Fuzzy AHP Approach for Financial Performance Evaluation of Iranian Petrochemical Sector

TL;DR: Performance evaluation of seven active companies in the petrochemical industries was evaluated using combined method of fuzzy and analytic hierarchy process, in the nest stage fuzzy set and fuzzy AHP is described and results of analysis have been presented.
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Combining fuzzy MCDM with BSC approach in performance evaluation of Iranian private banking sector

TL;DR: The results indicate that a customer "C" has the most significant BSC perspectives and the customer satisfaction "C1" is themost major index in banking sector.
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Combining Fuzzy AHP and Fuzzy TOPSIS with Financial Ratios to Design a Novel Performance Evaluation Model

TL;DR: A new financial performance evaluation framework to rank the companies in Iranian petrochemical industry based on fuzzy MCDM approach is developed and results indicate that the obtained ranks of the companies by these methods are almost the same with respect to their own sectors.
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Developing Sustainable SCM Evaluation Model Using Fuzzy AHP in Publishing Industry

TL;DR: This work defines a hierarchical framework regarding with Ageron et al model and criteria and sub criteria based on viewpoints of practical and academic experts and shows that criteria relating with company and supplier selection factors are most important criteria.

Using fuzzy analytical hierarchy process to evaluate main dimensions of business process reengineering

TL;DR: In this article, the authors developed a fuzzy analytic hierarchical process (FAHP) for the evaluation of business process reengineering dimensions and taking judgments of decision makers into consideration, where the FAHP method is used for determining the weights of the criteria by decision makers.