Multi-criteria Decision Making on the Best Drug for Rheumatoid Arthritis

  • Mojeba Hesham Department of Applied Sciences, University of Technology, Baghdad, Iraq
  • Jabbar Abbas Department of Applied Sciences, University of Technology, Baghdad, Iraq
Keywords: Choquet integral, λ – Sugeno measure, Multi-criteria decision making, Rheumatoid arthritis disease

Abstract

The theory of Multi-Criteria Decision Making (MCDM) was introduced in the second half of the twentieth century and aids the decision maker to resolve problems when interacting criteria are involved and need to be evaluated.  In this paper, we apply MCDM on the problem of the best drug for rheumatoid arthritis disease. Then, we solve the MCDM problem via -Sugeno measure and the Choquet integral to provide realistic values in the process of selecting the most appropriate drug. The approach confirms the proper interpretation of multi-criteria decision making in the drug ranking for rheumatoid arthritis.

Published
2021-05-31
How to Cite
Hesham, M., & Abbas, J. (2021). Multi-criteria Decision Making on the Best Drug for Rheumatoid Arthritis. Iraqi Journal of Science, 62(5), 1659-1665. https://doi.org/10.24996/ijs.2021.62.5.28
Section
Mathematics