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Journal of Information Systems Engineering and Management

Utilizing Fuzzy TOPSIS for Sustainable Development: A Case Study in Selection of Airport Location
Roqaia Farouk Saleh 1, Barraq Subhi Kaml 2 * , Luma Majid Hameed 2
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1 Postgraduate, Department of Investment and Business Administration College of Business Economic, Al-Nahrain University, Baghdad, Iraq
2 Dr., Assistant Professor, Department of Investment and Business Administration College of Business Economic, Al-Nahrain University, Baghdad, Iraq
* Corresponding Author
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Research Article

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 4, Article No: 30116
https://doi.org/10.55267/iadt.07.15426

Published Online: 11 Oct 2024

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How to cite this article
APA 6th edition
In-text citation: (Saleh et al., 2024)
Reference: Saleh, R. F., Kaml, B. S., & Hameed, L. M. (2024). Utilizing Fuzzy TOPSIS for Sustainable Development: A Case Study in Selection of Airport Location. Journal of Information Systems Engineering and Management, 9(4), 30116. https://doi.org/10.55267/iadt.07.15426
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Saleh RF, Kaml BS, Hameed LM. Utilizing Fuzzy TOPSIS for Sustainable Development: A Case Study in Selection of Airport Location. J INFORM SYSTEMS ENG. 2024;9(4):30116. https://doi.org/10.55267/iadt.07.15426
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Saleh RF, Kaml BS, Hameed LM. Utilizing Fuzzy TOPSIS for Sustainable Development: A Case Study in Selection of Airport Location. J INFORM SYSTEMS ENG. 2024;9(4), 30116. https://doi.org/10.55267/iadt.07.15426
Chicago
In-text citation: (Saleh et al., 2024)
Reference: Saleh, Roqaia Farouk, Barraq Subhi Kaml, and Luma Majid Hameed. "Utilizing Fuzzy TOPSIS for Sustainable Development: A Case Study in Selection of Airport Location". Journal of Information Systems Engineering and Management 2024 9 no. 4 (2024): 30116. https://doi.org/10.55267/iadt.07.15426
Harvard
In-text citation: (Saleh et al., 2024)
Reference: Saleh, R. F., Kaml, B. S., and Hameed, L. M. (2024). Utilizing Fuzzy TOPSIS for Sustainable Development: A Case Study in Selection of Airport Location. Journal of Information Systems Engineering and Management, 9(4), 30116. https://doi.org/10.55267/iadt.07.15426
MLA
In-text citation: (Saleh et al., 2024)
Reference: Saleh, Roqaia Farouk et al. "Utilizing Fuzzy TOPSIS for Sustainable Development: A Case Study in Selection of Airport Location". Journal of Information Systems Engineering and Management, vol. 9, no. 4, 2024, 30116. https://doi.org/10.55267/iadt.07.15426
ABSTRACT
In recent years, most countries have seen an increased focus on the concept of sustainable development in decisions regarding transportation infrastructure where environmental and social criteria are considered on par with economic criteria. This is particularly important in decisions to build new airports or expand their capacity with long-term implications for economic growth, welfare and regional development processes.The fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution) method is distinguished from the other methods of the multi-criteria decision making (MCDM) in that it arranges the available alternatives according to their proximity to the optimal solution. In real life, alternatives are observed in relation to the criteria and the weights of the criteria with fuzzy numbers. In such a case, the crisp traditional methods that solve the problems of multi-criteria decision-making are considered to be of weak effectiveness. The aim of this paper is to solve the problem of choosing a new hub airport for a hypothetical European Union airline, by applying the fuzzy TOPSIS method based on alpha level sets as it was applied to a selected data set from the available alternatives (candidate airports). The criteria for expressing the performance of these airports are defined and evaluated by the decision maker. The objective of the practical application of the studied problem is to show the usefulness of the method used as a tool that helps the decision maker to determine which of the alternatives represents the best solution in an environment with fuzzy data.
KEYWORDS
MCDM Fuzzy TOPSIS Method Triangular Fuzzy Numbers Alpha Level Sets
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