CFP last date
20 January 2025
Reseach Article

Multi-Attribute Decision Making Method for Car Selection by Individuals

by Zikrullah Khan, Amal Kumar Adak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 18
Year of Publication: 2023
Authors: Zikrullah Khan, Amal Kumar Adak
10.5120/ijca2023922908

Zikrullah Khan, Amal Kumar Adak . Multi-Attribute Decision Making Method for Car Selection by Individuals. International Journal of Computer Applications. 185, 18 ( Jun 2023), 44-49. DOI=10.5120/ijca2023922908

@article{ 10.5120/ijca2023922908,
author = { Zikrullah Khan, Amal Kumar Adak },
title = { Multi-Attribute Decision Making Method for Car Selection by Individuals },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2023 },
volume = { 185 },
number = { 18 },
month = { Jun },
year = { 2023 },
issn = { 0975-8887 },
pages = { 44-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number18/32799-2023922908/ },
doi = { 10.5120/ijca2023922908 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:26:28.197867+05:30
%A Zikrullah Khan
%A Amal Kumar Adak
%T Multi-Attribute Decision Making Method for Car Selection by Individuals
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 18
%P 44-49
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Purchasing management is most essential in todays competitive world, especially the most useful and essential purchase of the car by individuals. With the development of management and economics, real-world decision-making problems are becoming diversified and complicated to an increasing extent, especially within a changeable and unpredictable environment. Multi-attribute decision making is a decision-making technique that explicitly evaluates numerous contradictory criteria. There are many characteristics possessed by car like engine displacement, mileage in city and highway, max power, comfort, attractiveness, cost etc. and a customer has to choose the best car among several brand cars. In this paper, TOPSIS are used to find best car to be purchased. TOPSIS is a well-known multi-criteria decision-making process. The distance between two Pythagorean fuzzy numbers are utilised to create the model using the spherical distance measure. To construct a ranking order of alternatives and determine the best one, the revised index approach is utilised. Finally, demonstrate proposed method to solve a car selection problems from different brands with different attributes for customer. In addition, it shows comparative data from the relative closeness and updated index methods.

References
  1. L. A. Zadeh, Fuzzy sets, Information and Control, 8(1965) 338-353.
  2. A. K. Adak, D. Manna, M. Bhowmik and M. Pal, TOPSIS in Generalized Intuitionistic Fuzzy Environment, Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, IGI-Global, USA (2016) 630-642.
  3. A. K. Adak, M. Bhowmik and M. Pal, Application of generalized intuitionistic fuzzy matrix in multi-criteria decision making problem, Journal of Mathematical and Computational Science, 1 (1) (2011) 19-31.
  4. A. K. Adak, An Integrated Model of EOQ and Newsboy Problem for Substitutable Items with Space Constraints, International Conference on Information Technology and Applied Mathematics, Springer, Cham, (2019) 292-303.
  5. A.K.Adak, Nilkamal, K.N.Srivastava, New Ranking Approach to Solve MCDM Problems with Generalized Intuitionistic Fuzzy Information, Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain. Studies in Fuzziness and Soft Computing, Springer, Singapore, 420 (2022) 559-566.
  6. K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986) 87-96.
  7. A. Ebrahimnejad, A. K. Adak, E. B. Jamkhaneh, Eigenvalue of Intuitionistic Fuzzy Matrices Over Distributive Lattice, International Journal of Fuzzy System Applications (IJFSA), 8(1) (2019) 1-18.
  8. H. Garg, A new generalized Pythagorean fuzzy information aggregation using Einstein operations and its application to decision making. Int J Intell Syst. 31(9) (2016) 886-920.
  9. H. Garg, Generalized Pythagorean fuzzy geometric aggregation operators using Einstein t-norm and t-conorm for multicriteria decision-making process. Int J Intell Syst. 32(6) (2017) 597-630.
  10. X. J. Gou, Z. S. Xu, P. J. Ren, The properties of continuous Pyhagorean fuzzy information. Int J Intell Syst 31(5)(2016) 401-424.
  11. A. Hadi-Vencheh, M. Mirjaberi, Fuzzy inferior ratio method for multiple attribute decision making problems, Inf. Sci. 277 (2014) 263-272.
  12. X. Peng, Y Yang, Some results for Pythagorean fuzzy sets. Int J Intell Syst 30 (2015)1133-1160.
  13. X.L. Zhang, Z.S. Xu, Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets, Int. J. Intell. Syst. 29(2014) 1016-1078.
  14. D.Q. Li, W.Y. Zeng, Distance measure of Pythagorean fuzzy sets, Int. J. Intell. Syst. 33 (2018) 348-361.
  15. W.Y. Zeng, D.Q. Li, Q. Yin, Distance and similarity measures of Pythagorean fuzzy sets and their applications to multiple criteria group decision making, Int. J. Intell. Syst. 33 (2018) 2236-2254.
  16. L.P. Yu, S.Z. Zeng, J.M. Merigo, C.H. Zhang, A new distance measure based on the weighted induced method and its application to Pythagorean fuzzy multiple attribute group decision making, Int. J. Intell. Syst. 34 (2019) 1440-1454.
  17. X.D. Peng, W.Q. Li, Algorithms for interval-valued Pythagorean fuzzy sets in emergency decision making based on multi-parametric similarity measures and WSBA, IEEE Access 7 (2019) 7419-7441.
  18. R. R. Yager, A. M. Abbasov, (2013) Pythagorean membership grades, complex numbers, and decision making. Int J Intell Syst 28 (2013) 436-452.
  19. R. R. Yager, Properties and applications of Pythagorean fuzzy sets. Springer, Berlin (2016).
  20. C.L.Hwang and K.Yoon, Multiple attribute decision methods and applications: A state of the art survey, Springer Verlag, New York, 1981.
Index Terms

Computer Science
Information Sciences

Keywords

Multiple attribute decision making (MADM) TOPSIS score function spherical distance measurement revised index method. 2010 AMS Classification: 16Y30 03E72 16Y99.