Yousaf Ali, Bilal Mehmood, Muhammad Huzaifa, Umair Yasir, Amin Ullah Khan

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Increasing competition in the automobile industry has led to a vast variety of choices when buying a car thus making car selection a tedious task. The objective of this research is to develop a new hybrid multi-criteria decision-making technique, with accuracy greater than that of the already existing methods, in order to help the people in decision-making while buying a car. Hence, considering a broader spectrum, this study aims at easing the process of multi-criteria decision-making problems in different fields. To achieve the objective, seven different alternatives were evaluated with respect to the enlisted evaluation criteria, which were selected after analyzing the secondary data obtained from Pak wheels based on style, fuel economy, price, comfort and performance. These criteria were then analyzed using the proposed Full Consistency Fuzzy TOPSIS method. As the name tells, this method is a unique combination of two techniques. The Full Consistency method is used to calculate the weights of the criteria while the Fuzzy TOPSIS approach is applied to rank the alternatives according to their scores in the selected criteria. The outcomes demonstrate an increase in the consistency ratio of the weight coefficients due to which the ranking of the alternatives by the FCF-TOPSIS is more accurate than the TOPSIS and the Analytical Hierarchy Process. The novelty of the method lies in the fact that this combination has not been used for an alternative selection scenario before. In addition to this, it can be used in various industries where a choice between the available alternatives arises based on a set of evaluation criteria.


Selection Problems, Car-selection, Decision Problems, MCDM, Fuzzy TOPSIS, FUCOM

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World Bank, 2013, World Development Indicators., Report, Washington.

Byun, D.H., 2001, The AHP Approach For Selecting An Automobile. Information & Management, 38(5), pp. 289-297.

Pamučar, D., Stević, Ž., Sremac, S., 2018, A new model for determining weight coefficients of criteria in mcdm models: Full consistency method (FUCOM), Symmetry, 10(9), pp. 1-22.

Karthikeyan, R., Venkatesan, K.G.S., Chandrasekar, A., 2016, A comparison of strengths and weaknesses for analytical hierarchy process, Journal of Chemical and Pharmaceutical Sciences, 9(3), pp. 1215.

Madi, E.N., Garibaldi, J.M., Wagner, C., 2016, An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS. In : IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver.

Ishizaka, A., Nemery, P., 2013, Multi-criteria decision analysis: methods and software. John Wiley & Sons, New Jersey.

Anwar, A.M., 2009, Paradox between Public Transport and Private Car as a Modal Choice in Policy Formulation, Journal of Bangladesh Institute of Planners, 2(1), pp. 71-77.

Zhao, H., Li, N., 2016, Optimal siting of charging stations for electric vehicles based on fuzzy Delphi and hybrid multi-criteria decision-making approaches from an extended sustainability perspective, Energies 9(4), pp. 270-286.

Bhole, G.P., Deshmukh, T., 2018, Multi Criteria Decision-making (MCDM) Methods and its applications, International Journal for Research in Applied Science & Engineering Technology (IJRASET), 6(5), pp. 899-915.

Lee, WS., 2014, A new hybrid MCDM model combining DANP with VIKOR for the selection of location—real estate brokerage services, International Journal of Information Technology & Decision-making, 13(1), pp. 197-224.

Mantel, S.J., Meredith, J., 2003, Project Management: A Managerial Approach. Wiley, New York.

Sakthivel, G., IIangkumaran, M., Nagarajan, G., Raja, A., Ragunadhan, P.M., Prakash, J., 2013, A hybrid MCDM approach for evaluating an Automobile Purchase model, International journal of information and decision sciences 5(1), pp. 50-85.

Roy, S., Mohanty, S., Mohanty, S., 2018, An Efficient Hybrid MCDM based Approach for Car Selection. In : International Conference on Research in Intelligent and Computing in Engineering (RICE), San Salvador.

Khan, F., Ali, Y., Khan, A.U., 2020, Sustainable hybrid electric vehicle selection in the context of a developing country, Air Quality, Atmosphere & Health, 13(1), pp. 1-11.

Panchal, D., Chatterjee, P., Shukla, R.K., Choudhury, T., Tamosaitiene, J., 2017, Integrated fuzzy AHP-codas framework for maintenance decision in urea fertilizer industry, Economic Computation & Economic Cybernetics Studies & Research, 51(3), pp. 179-196.

Panchal, D., Singh, A.K., Chatterjee, P., Zavadskas, E.K., Keshavarz-Ghorabaee, M., 2019, A new fuzzy methodology-based structured framework for RAM and risk analysis, Applied Soft Computing, 74(1), pp. 242-254.

Panchal, D., Kumar, D., 2017, Risk analysis of compressor house unit in thermal power plant using integrated fuzzy FMEA and GRA approach, International Journal of industrial and systems Engineering, 25(2), pp. 228-250.

Panchal, D., Tyagi, M., Sachdeva, A., 2019, A Novel Framework for Evaluation of Failure Risk in Thermal Power, Springer, Singapore.

Panchal, D., Chatterjee, P., Yazdani, M., Chakraborty, S., 2019, A Hybrid MCDM Approach-Based Framework for Operational Sustainability of Process Industry. In : Advanced Multi-Criteria Decision-making for Addressing Complex Sustainability Issues. IGI Global, Jalandhar, pp. 1-13.

Chatterjee, P., Panchal, D., Chakraborty, S., 2020, A Developed Meta-model for Biomaterials Selection, Trends in Biomaterials & Artificial Organs, 34(1), pp. 20-32.

Enea, M., Piazza, T., 2004, Project Selection by Constrained Fuzzy AHP, Fuzzy optimization and decision-making, 3(1), pp. 39-62.

Mahmoodzadeh, S., Shahrabi, J., Pariazar, M., Zaeri, M.S., 2007, Project selection by using fuzzy AHP and TOPSIS technique, World Academy of Science, Engineering and Technology, 30(1), pp. 333-338.

Torfi, F., Farahani, R.Z., Rezapour, S., 2010, Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives, Applied Soft Computing, 10(2), pp. 520-528.

Zavadskas, E.K., Podvezko, V., 2016, Integrated Determination of Objective Criteria Weights in MCDM, International Journal of Information Technology & Decision-making 15(2), pp. 267-283.

Bozanic, D., Tešić, D., Milić, A., 2020, Multicriteria decision-making model with Z-numbers based on FUCOM and MABAC model, Decision-making: Applications in Management and Engineering, 3(2), pp. 19-36.

Nenadic, D., 2019, Ranking dangerous sections of the road using MCDM model, Decision-making: Applications in Management and Engineering, 2(1), pp. 115-131.

Fazlollahtabar, H., Smailbašić, A., Stević, Ž., 2019, FUCOM method in group decision-making: Selection of forklift in a warehouse, Decision-Making: Applications in Management and Engineering, 2(1), pp. 49-65.

Durmić, E., 2019, Evaluation of criteria for sustainable supplier selection using FUCOM method, Operational Research in Engineering Sciences: Theory and Applications, 2(1), pp. 91-107.

Erceg, Ž., 2019, Integrated MCDM model for processes optimization in supply chain management in wood company, Operational research in engineering sciences: Theory and applications, 2(1), pp. 37-50.

Badi, I., Abdulshahed, A., 2019, Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP), Operational Research in Engineering Sciences: Theory and Applications, 2(1), pp. 1-14.

Güngör, I., İşler, D.B., 2004, Automobile Selection with Analytical Hierarchy Approach, International Journal of Management Economics and Business, 1(2), pp. 21-33.

Biswas, T., Saha, P., 2019, Selection of commercially available scooters by new MCDM method, International Journal of Data and Network Science, 3(2), pp. 137-144.

Shin, Y.B., 2017, Rank reversal phenomenon in cross-efficiency evaluation of data envelopment analysis, International Journal of Business and Economic Development (IJBED), 5(1), pp. 35-40.

Senouci, M.A., Mushtaq, M.S., Hoceini, S., Mellouk, A., 2016, TOPSIS-based dynamic approach for mobile network interface selection, Computer Networks, 107(1), pp. 304-314.

Ziemba, P., Wątróbski, J., 2016, Selected Issues of Rank Reversal Problem in ANP. In : Selected Issues in Experimental Economics, Springer, Cham, pp. 203-225.

Kong, F., Wei, W., Gong, J.-H., 2016, Rank reversal and Rank Preservation in ANP, Journal of Discrete Mathematical Sciences and Cryptography, 19(3), pp. 821-836.

Hwang, CL., Paidy, S. R., Yoon, K., Masud, A. MS., 1980, Mathematical programming with multiple objectives, Computers & Operations Research, 7(1-2), pp. 5-31.

Zadeh, L.A., 1965, Fuzzy sets, Information and control, 8(3), pp. 338-353.

Chang, Y.H., Yeh, C.H., Wang, S.Y., 2007, A survey and optimization-based evaluation of development strategies for the air cargo industry, International Journal of Production Economics, 106(2), pp. 550-562.

Xu, Z.S., Chen, J., 2007, An interactive method for fuzzy multiple attribute group decision-making, Information Sciences, 177(1), pp. 248-263.



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