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A Web-Based Decision Support System for Project Evaluation with Sustainable Development Considerations Based on Two Developed Pythagorean Fuzzy Decision Methods

Author

Listed:
  • Asad Mahmoudian Azar Sharabiani

    (Department of Industrial Engineering, Shahed University, Tehran 3319118651, Iran)

  • Seyed Meysam Mousavi

    (Department of Industrial Engineering, Shahed University, Tehran 3319118651, Iran)

Abstract

Decision support systems are being developed as attractive tools to help organizations make better decisions. These systems assist decision-makers in making the best decisions. The widespread application of the internet has transformed the development of decision support systems into a web-based challenge. On the other hand, project selection has always been a significant issue for organizations. The limitation of resources and the existence of different criteria while selecting projects cause organizations to face the challenges of multiple-criteria decision making. In this research, a new approach is introduced for the selection of criteria. It also presents a new web-based decision support system for selecting projects considering uncertainty and various criteria, including organizational strategies, the seventh edition of project management standard, and sustainable development. Therefore, the economic, social, and environmental dimensions of sustainable development were included as project evaluation indicators. The proposed approach was developed using Pythagorean fuzzy sets, MEREC, and MARCOS methods to examine uncertainty and solution methods. In this approach, a new version of the MARCOS method was developed, with Pythagorean fuzzy sets for rankings. Also, a new development was presented using the Pythagorean fuzzy (PF)-MEREC method, which was used for weighting. The effectiveness of the proposed method is discussed through a real case study conducted on one of the mineral holdings in Iran. Among the mining projects introduced to the company, finally, the second project was selected. In the comparison made using PF-Entropy-TOPSIS and PF-Entropy-VIKOR methods, the superior project provided similar results. By changing the weights of the criteria for four different types of states, sensitivity analysis was used to determine the reliability of the final rankings. In these states, the weights of the criteria were moved together or assigned equal weights, and, in all four states, the ranking results were the same.

Suggested Citation

  • Asad Mahmoudian Azar Sharabiani & Seyed Meysam Mousavi, 2023. "A Web-Based Decision Support System for Project Evaluation with Sustainable Development Considerations Based on Two Developed Pythagorean Fuzzy Decision Methods," Sustainability, MDPI, vol. 15(23), pages 1-31, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16477-:d:1292288
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    References listed on IDEAS

    as
    1. Hassan Hashemi & Seyed Meysam Mousavi & Edmundas Kazimieras Zavadskas & Alireza Chalekaee & Zenonas Turskis, 2018. "A New Group Decision Model Based on Grey-Intuitionistic Fuzzy-ELECTRE and VIKOR for Contractor Assessment Problem," Sustainability, MDPI, vol. 10(5), pages 1-19, May.
    2. Vladimir Strezov & Annette Evans & Tim J. Evans, 2017. "Assessment of the Economic, Social and Environmental Dimensions of the Indicators for Sustainable Development," Sustainable Development, John Wiley & Sons, Ltd., vol. 25(3), pages 242-253, May.
    3. Yutao Yan & Zhongqiang Luo & Zhenyu Liu & Zhibo Liu, 2023. "Risk Assessment Analysis of Multiple Failure Modes Using the Fuzzy Rough FMECA Method: A Case of FACDG," Mathematics, MDPI, vol. 11(16), pages 1-21, August.
    4. Mbarka Selmi & Tarek Kormi & Nizar Bel Hadj Ali, 2016. "Comparison of multi-criteria decision methods through a ranking stability index," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 27(1/2), pages 165-183.
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