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

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.

Modified Multi-Criteria Decision Making Methods to Assess Classification Methods

“…It determines the optimal options by reducing the length of the Positive-Ideal Solution (PIS) and increasing the distance to the nadir, or Negative-Ideal Solution (NIS) [8]. TOPSIS evaluates the distances to both PIS and NIS at the same time and a preferred ordering is rated based on its relative distance and a combination of two distance metrics [52]. TOPSIS appears to offer four advantages: (i) A sound logic that represents human choice justification; (ii) A clear value that accounts for both the best and worst alternatives at the same time; (iii) A simple data processing process that can be easily destined into a spreadsheet and (iv) All alternative evaluation metrics on attributes can be viewed on a polyhedron, at least for any two dimensions.…”

A Computational Model for Multi-Criteria Decision Making in Traffic Jam Problem

“…The fuzzy integrals with respect to non-additive measures have been studied and applied in diverse fields (see, e.g. [9][10][11][12][13][14][15][16][17]). There are many types of non-additive measures, one of them is the ℷ-fuzzy measure.…”

A Comparison of Results among Waste Management Producers: A Case Study for the Process of Waste Management

“…[11][12][13][14][15][16][17]), one of them is the Shapley important index which is used to demonstrate the possible cost to waste producers in the event of cooperation, as well as to minimize the overall costs of processing non-recyclable trash during the collaboration between the among producers. The interaction phenomena among a set of players, which can be seen as an extension of the notion of value, has been applied to multi-criteria decision-making in the framework of aggregation by the Choquet integral [18][19][20][21]. The purpose of this paper is to describe waste management producer cooperation using a mathematical model based on cooperative game theory and use the Shapley important index to emphasize the potential cost to reduce the overall costs of non-recyclable rubbish processing during producer cooperation.…”