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Multi Criteria Decision Making for Evaluation and Ranking of Cancer Information

Shahid Mahmood1,*, Muhammad Amin2, Mubashir Baig Mirza1, Salem Abu-Ghumsan1, Muhammad Akram3, Zahid Mahmood Janjua4, Arslan Shahid5, Usman Shahid6

1 College of Dentistry, Prince Sattam Bin Abdul Aziz University, Alkharj, 11942, Saudi Arabia
2 Department of Avionics Engineering, Institute of Space Technology, Islamabad, Pakistan
3 University of Engineering & Technology, Lahore, 56000, Pakistan
4 Systems International, Lahore, 56000, Pakistan
5 Arif Memorial Hospital, Lahore, 56000, Pakistan
6 University of Central Punjab, Lahore, 56000, Pakistan

* Corresponding Author: Shahid Mahmood. Email: email

Computers, Materials & Continua 2023, 74(2), 4469-4481. https://doi.org/10.32604/cmc.2023.030728

Abstract

Cancer is a disease that is rapidly expanding in prevalence all over the world. Cancer cells can metastasize, or spread, across the body and impact several different cell types. Additionally, the incidence rates of several subtypes of cancer have been on the rise in India. The countermeasures for the cancer disease can be taken by determining the specific expansion rate of each type. To rank the various forms of cancer’s rate of progression, we used some of the available data. Numerous studies are available in the literature which show the growth rate of cancer by different techniques. The accuracy of the scheme in determining the highest growth rate may vary due to the variation in the dependent factors. Within the context of this research, the Fuzzy triangular technique for order preference by similarity to ideal solution (TOPSIS), is utilized to rank the various categorizations of cancer with the help of four groups of medical professionals acting in the capacity of decision-makers. The number of decision-makers may variate according to the required accuracy of results. The findings of the three-dimensional Fuzzy TOPSIS analysis categorize each variety of cancer according to the rate at which it spreads over time. Numerical results along with visual representation are presented to examine the efficiency of our proposed work.

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APA Style
Mahmood, S., Amin, M., Mirza, M.B., Abu-Ghumsan, S., Akram, M. et al. (2023). Multi criteria decision making for evaluation and ranking of cancer information. Computers, Materials & Continua, 74(2), 4469-4481. https://doi.org/10.32604/cmc.2023.030728
Vancouver Style
Mahmood S, Amin M, Mirza MB, Abu-Ghumsan S, Akram M, Janjua ZM, et al. Multi criteria decision making for evaluation and ranking of cancer information. Comput Mater Contin. 2023;74(2):4469-4481 https://doi.org/10.32604/cmc.2023.030728
IEEE Style
S. Mahmood et al., "Multi Criteria Decision Making for Evaluation and Ranking of Cancer Information," Comput. Mater. Contin., vol. 74, no. 2, pp. 4469-4481. 2023. https://doi.org/10.32604/cmc.2023.030728



cc 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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