AHP And Grey Relations Analysis Based Boat Selection For Summer Tourism Activities

Year 2021, Volume: 1 Issue: 1, 34 - 41, 30.06.2021

Muhammet Enes Akpınar Mustafa Gerşil

Abstract

Decision problems are different problems that we face at every stage of our lives. These problems sometimes arise at the time of a purchase, and sometimes when an important decision has to be made. Due to the nature of this problem, decision makers want to make the most appropriate decision for themselves. The difficulty in deciding the best among many alternatives for this decision complicates the problem. In the literature, this problem is referred to as a multi-criteria decision-making problem. In this study, the problem of purchasing a boat for the summer activities of a tourism business is discussed. The criterion weights were determined by the analytical hierarchy process method for the solution of the problem. Afterwards, alternative boats were evaluated with gray relations analysis. According to the results of the calculations, the most suitable boat was decided and the results were interpreted.

Keywords

Boat selection, multi-criteria decision making, Analytical hierarchy process, Gray relations analysis

References

• [1] S. Abadi et al., “Implementation of fuzzy analytical hierarchy process on notebook selection,” Int. J. Eng. Technol., 2018, doi: 10.14419/ijet.v7i2.27.12047.
• [2] G. K. Koulinas, P. K. Marhavilas, O. E. Demesouka, A. P. Vavatsikos, and D. E. Koulouriotis, “Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique – A case study for the Greek construction sector,” Saf. Sci., 2019, doi: 10.1016/j.ssci.2018.10.017.
• [3] S. Kheybari, F. M. Rezaie, S. A. Naji, and F. Najafi, “Evaluation of energy production technologies from biomass using analytical hierarchy process: The case of Iran,” J. Clean. Prod., 2019, doi: 10.1016/j.jclepro.2019.05.357.
• [4] A. Sevinç, Ş. Gür, and T. Eren, “Analysis of the difficulties of SMEs in industry 4.0 applications by analytical hierarchy process and analytical network process,” Processes, 2018, doi: 10.3390/pr6120264.
• [5] Z. D. Unutmaz Durmuşoğlu, “Assessment of techno-entrepreneurship projects by using Analytical Hierarchy Process (AHP),” Technol. Soc., 2018, doi: 10.1016/j.techsoc.2018.02.001.
• [6] I. Badi and A. Abdulshahed, “Ranking the libyan airlines by using full consistency method (fucom) and analytical hierarchy process (ahp),” Oper. Res. Eng. Sci. Theory Appl., 2019, doi: 10.31181/oresta1901001b.
• [7] S. K. Mangla, K. Govindan, and S. Luthra, “Prioritizing the barriers to achieve sustainable consumption and production trends in supply chains using fuzzy Analytical Hierarchy Process,” J. Clean. Prod., 2017, doi: 10.1016/j.jclepro.2017.02.099.
• [8] M. Rashidi, M. Ghodrat, B. Samali, B. Kendall, and C. Zhang, “Remedial modelling of steel bridges through application of analytical hierarchy process (AHP),” Appl. Sci., 2017, doi: 10.3390/app7020168.
• [9] A. Khaira and R. K. Dwivedi, “A State of the Art Review of Analytical Hierarchy Process,” 2018, doi: 10.1016/j.matpr.2017.11.663.
• [10] Y. Huang, L. Shen, and H. Liu, “Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China,” J. Clean. Prod., 2019, doi: 10.1016/j.jclepro.2018.10.128.
• [11] T. K. Wang, Q. Zhang, H. Y. Chong, and X. Wang, “Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA),” Sustain., 2017, doi: 10.3390/su9020289.
• [12] “A hybrid approach based on ANP and grey relational analysis for machine selection,” Teh. Vjesn. - Tech. Gaz., 2017, doi: 10.17559/tv-20141123105333.
• [13] Z. X. Wang and P. Y. Yao, “Grey relational analysis of economic policy uncertainty in selected European Union countries,” Econ. Comput. Econ. Cybern. Stud. Res., 2018, doi: 10.24818/18423264/52.2.18.15.
• [14] S. S. Weng, K. Y. Chen, and C. Y. Li, “Application of the analytic hierarchy Process and grey relational analysis for vendor selection of spare parts planning software,” Symmetry (Basel)., 2019, doi: 10.3390/sym11091182.
• [15] A. Karimi, B. Ahmadpour, and M. R. Marjani, “Using the Fuzzy Grey Relational Analysis Method in Wastewater Treatment Process Selection,” Iran. J. Heal. Saf. Environ., 2018.
• [16] H. Malekpoor, K. Chalvatzis, N. Mishra, M. K. Mehlawat, D. Zafirakis, and M. Song, “Integrated grey relational analysis and multi objective grey linear programming for sustainable electricity generation planning,” Ann. Oper. Res., 2018, doi: 10.1007/s10479-017-2566-4.
• [17] Y. Liu, X. Huang, J. Duan, and H. Zhang, “The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method,” Nat. Hazards, 2017, doi: 10.1007/s11069-017-2923-2.
• [18] T. Kuo, “A review of some modified grey relational analysis models,” Journal of Grey System. 2017.
• [19] T. L. Saaty, “The analytic hierarchy process: planning,” Prior. Setting. Resour. Alloc. MacGrawHill, New York Int. B. Co., 1980.
• [20] C. T. Ho, “Measuring bank operations performance: An approach based on Grey Relation Analysis,” J. Oper. Res. Soc., 2006, doi: 10.1057/palgrave.jors.2601985.
• [21] Y. Kuo, T. Yang, and G. W. Huang, “The use of grey relational analysis in solving multiple attribute decision-making problems,” Comput. Ind. Eng., 2008, doi: 10.1016/j.cie.2007.12.002.
• [22] G. Xu, Y. ping Yang, S. yuan Lu, L. Li, and X. Song, “Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process,” Energy Policy, 2011, doi: 10.1016/j.enpol.2011.01.054.
• [23] X.-C. Xiao, X.-Q. Wang, K.-Y. Fu, and Y.-J. Zhao, “Grey Relational Analysis on Factors of the Quality of Web Service,” Phys. Procedia, 2012, doi: 10.1016/j.phpro.2012.05.313.
• [24] G. D. Li, D. Yamaguchi, and M. Nagai, “A grey-based decision-making approach to the supplier selection problem,” Math. Comput. Model., 2007, doi: 10.1016/j.mcm.2006.11.021.