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New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking

Deepak Sukheja1, Javaid Ahmad Shah2, G. Madhu3, K. Sandeep Kautish4, Fahad A. Alghamdi5, Ibrahim. S. Yahia6,7,8, El-Sayed M. El-Kenawy9,10, Ali Wagdy Mohamed11,12,*

1 Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
2 Department of Mathematics, Dr. APJ Abdul Kalam University Indore (M.P), India
3 Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
4 LBEF Campus, Kathmandu, 44600, Nepal
5 Department of Management Information Systems, College of Applied Studies and Community Service, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
6 Laboratory of Nano-Smart Materials for Science and Technology (LNSMST), Department of Physics, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
7 Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
8 Nanoscience Laboratory for Environmental and Biomedical Applications (NLEBA), Semiconductor Lab., Department of Physics, Faculty of Education, Ain Shams University, Roxy, Cairo 11757, Egypt
9 Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt
10 Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura, 35712, Egypt
11 Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, 12613, Egypt
12 Department of Mathematics and Actuarial Science School of Sciences Engineering, The American University in Cairo, Egypt

* Corresponding Author: Ali Wagdy Mohamed. Email:

Computers, Materials & Continua 2022, 73(3), 4595-4609.


Efficient decision-making remains an open challenge in the research community, and many researchers are working to improve accuracy through the use of various computational techniques. In this case, the fuzzification and defuzzification processes can be very useful. Defuzzification is an effective process to get a single number from the output of a fuzzy set. Considering defuzzification as a center point of this research paper, to analyze and understand the effect of different types of vehicles according to their performance. In this paper, the multi-criteria decision-making (MCDM) process under uncertainty and defuzzification is discussed by using the center of the area (COA) or centroid method. Further, to find the best solution, Hurwicz criteria are used on the defuzzified data. A new decision-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy numbers. The proposed technique considers all types of decision makers’ perspectives such as optimistic, neutral, and pessimistic which is crucial in solving decision-making problems. A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among decision-makers. The significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.


Cite This Article

D. Sukheja, J. A. Shah, G. Madhu, K. Sandeep Kautish, F. A. Alghamdi et al., "New decision-making technique based on hurwicz criteria for fuzzy ranking," Computers, Materials & Continua, vol. 73, no.3, pp. 4595–4609, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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