Determining the importance of the criteria of traffic accessibility using fuzzy AHP and rough AHP method
DOI:
https://doi.org/10.31181/dmame1901086sAbstract
When defining criteria that have an influence on traffic accessibility, it is necessary to take into account the specificity of a concrete urban unit. A large number of authors base own research on a small number of traffic access criteria using one of the decision-making methods. The methods on which research can be based are multi-criteria decision-making in combination with fuzzy logic and rough numbers that give relevant results and are widely applied in all fields of science today. Thanks to these methods, for problems where is a large number of solutions in which certain criteria are formed, a valid solution can be reached. When using these methods, it is necessary to emphasize that there is a certain degree of subjectivity of the decision maker, but this can be minimized using fuzzy or rough numbers. The aim of this paper is to compare the significance of particular criteria using the Fuzzy AHP method and the Rough AHP method, which would show differences in the values of weight significance criteria and their ranking.
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Akkaya, G., Turanoğlu, B., & Öztaş, S. (2015). An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing. Expert Systems with Applications, 42(24), 9565-9573.
Badi, I., Abdulshahed, A. M., & Shetwan, A. (2018). A case study of supplier selection for a steelmaking company in Libya by using the Combinative Distance-based ASsessment (CODAS) model. Decision Making: Applications in Management and Engineering, 1(1), 1-12.
Batinić, M. (2013). Analysis of selection criteria and the sensitivity of solutions in selecting candidates for a job position. Military technical courier, 61(3), 268-279.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655.
Chen, Z., & Yang, W. (2011). An MAGDM based on constrained FAHP and FTOPSIS and its application to supplier selection. Mathematical and Computer Modelling, 54(11), 2802-2815.
Gul, M., Celik, E., Aydin, N., Gumus, A. T., & Guneri, A. F. (2016). A state of the art literature review of VIKOR and its fuzzy extensions on applications. Applied soft computing, 46, 60-89.
Gulič, A. (2015). Mobilnost i Troškovi Stanovanja: Saznanja i Usmerenja Projekta MORECO. Naučno Stručni Skup Palić. (In Serbian)
Khoo, L. P., & Zhai, L. Y. (2001). A prototype genetic algorithm-enhanced rough set-based rule induction system. Computers in Industry, 46(1), 95-106.
Litman, T. (2017). Evaluating Accessibility for Transportation Planning - Measuring People’s Ability to Reach Desired Goods and Activities; Victoria Transport Policy Institute: Victoria, BC, Canada.
Logan, P. (2007). Best practice demand-responsive transport (DRT) policy. Road and Transport Research, 16(2), 50–59.
Lukovac, V., & Popović, M. (2018). Fuzzy Delphi approach to defining a cycle for assessing the performance of military drivers. Decision Making: Applications in Management and Engineering, 1(1), 67–81.
Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic Research, 28(1), 516-571.
Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11(5), 341–356.
Pawlak, Z. (1991). Rough sets: Theoretical aspects of reasoning about data. Dordrecht & Boston: Kluwer Academic Publishers.
Pawlak, Z. (1993). Anatomy of conflicts, Bulletin of the European Association for Theoretical Computer Science, 50, 234-247.
Ranković-Plazinić, B. (2015). Održivo planiranje saobradaja za ruralna područja. Ph.D. Thesis, Saobraćajni Fakultet u Beogradu, Univerzitet u Beogradu, Belgrade, Serbia. (In Serbian)
Roy, J., Pamučar, D., Adhikary, K., & Kar, S. (2018). A rough strength relational DEMATEL model for analysing the key success factors of hospital service quality. Decision Making: Applications in Management and Engineering, 1(1), 121–142.
Saaty, T. L., & Kearns, K. P. (2014). Analytical planning: The organization of system (Vol. 7). Elsevier.
Social Exclusion Unit. (2003). Making the Connections: Final Report on Transport and Social Exclusion; Social Exclusion Unit: London, UK.
Srichetta, P., & Thurachon, W. (2012). Applying Fuzzy Analytic Hierarchy Process to Evaluate and Select Product of Notebook Computers. International Journal of Modeling and Optimization, 2(2), 168–173.
Stanković, M., Gladović, P., Popović, V., & Lukovac, V. (2018). Selection Criteria and Assessment of the Impact of Traffic Accessibility on the Development of Suburbs. Sustainability, 10(6), doi:10.3390/su10061977.
Stević, Ž. (2018). Integrisani model vrednovanja dobavljača u lancima snabdevanja. Doktorska disertacija. Fakultet tehničkih nauka Novi Sad. Univerzitet u Novom Sadu. (In Serbian)
Stević, Ž., Alihodžić, A., Božičković, Z., Vasiljević, M., & Vasiljević, Đ. (2015). Application of combined AHP-TOPSIS model for decision making in management. V International conference „Economics and Management - based On New Technologies “EMONT/Vrnjačka Banja, 33-40.
Stević, Ž., Alihodžić, A., Božičković, Z., Vasiljević, M., & Vasiljević, Đ. (2015). Application of combined AHP-TOPSIS model for decision making in management. In 5th International conference „Economics and Management-based On New Technologies“ EMONT/Vrnjačka Banja, Serbia (pp. 33-40).
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2009). A rough set based QFD approach to the management of imprecise design information in product development. Advanced Engineering Informatics, 23(2), 222-228.
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