Application and Comparison of CC-Integrals in Business Group Decision Making

Optimized decisions is required by businesses (analysts) if they want to stay open. Even thought some of these are from the know-how of the managers/executives, most of them can be described mathematically and solved (semi)-optimally by computers. The Group Modular Choquet Random Technique for Order of Preference by Similarity to Ideal Solution (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) that was developed as a method to optimize the later types of problems, by being able to work with multiple heterogeneous data types and interaction among different criteria. On the other hand the Choquet integral is widely used in various fields, such as brain-computer interfaces and classification problems. With the introduction of the CC-integrals, this study presents the GMC-RTOPSIS method with CC-integrals. We applied 30 different CC-integrals in the method and analyzed its results using 3 different methods. We found that by modifying the decision-making method we allow for more flexibility and certainty in the choosing process.

Automated summary

This study introduces a new multi-criteria decision making method called GMC-RTOPSIS, which optimizes the decision-making process by applying CC-integrals. The analysis of the results shows that this method provides more flexibility and certainty in the decision-making process.