Publication of a Research Article by a Faculty Member of Lorestan University in a Reputable International Journal with an Impact Factor of 5.1
Sep 21, 2026
A faculty member of Lorestan University, by publishing a specialized article in one of the world's most prestigious environmental journals (with an impact factor of 5.1), has taken an effective step towards strengthening the university's international scientific standing.
According to the Public Relations of Lorestan University, Dr. Mohammad Tavassoli, a faculty member of the Management Department at Lorestan University, has succeeded in publishing an ISI scientific-research article in the reputable journal Management of Environmental Quality: An International Journal (published by Emerald), with a Q1 quartile, an impact factor (IF) of 5.1, and an MIF of 3.2.
Dr. Mohammad Tavassoli has so far succeeded in publishing several international articles in reputable journals indexed in JCR with a Q1 quartile.
His expertise and research areas primarily include the following:
1. Decision-making theory and its application in complex multi-stage systems.
2. Sustainable supply chain management.
3. Application of artificial intelligence in decision-making sciences.
Abstract of the Published Article:
_ Methodology:
In this study, for the first time, John Nash's game theory, network data envelopment analysis with common inputs, and fuzzy theory have been integrated into a unified framework for evaluating the sustainability of road transport systems.
In this research, the sustainability of the road transport system has been evaluated in two stages (first stage: energy efficiency, and second stage: economic value-added efficiency).
Since increasing the efficiency of one stage leads to a decrease in the efficiency of another stage, game theory has been used to model non-cooperative (leader-follower) and cooperative interactions, which can extract the maximum and minimum efficiency frontiers.
To accommodate imprecise data, fuzzy extensions are linearized using triangular fuzzy numbers and the a-cut approach.
Findings:
This study indicates that non-cooperative strategies result in uneven efficiency outcomes in a complex multi-stage system and harm the overall performance of the system.
Conversely, the proposed cooperative game theory-based data envelopment analysis model, by adjusting input, intermediate, and output variables, can enhance the overall system efficiency while ensuring minimum acceptable efficiency levels for each of the energy and economic stages.
The sensitivity of the efficiency and ranking performed in this study to data uncertainty highlights the need for fuzzy modeling in transport sustainability assessments.
The sensitivity analysis conducted in this study confirms the stability of efficiency scores and rankings amidst data variations, thereby enhancing the reliability of the results for managerial applications.
_ Article Link:
It is noteworthy that Dr. Tavassoli is currently an Associate Editor for the reputable journal Sustainable Computing: Informatics and Systems (published by Elsevier), with a Q1 quartile, an impact factor (IF) of 6.2, and an MIF of 3.2.
The publication of JCR articles in the humanities field holds significant value in terms of university rankings at national and international levels.
_ Associate Editor Link:
_ Source of News Data: Research Affairs Deputy of Lorestan University.
