Entropy Based Probabilistic Decision-Making Models for Industrial Robot Selection in Defence Systems

Abstract

The choice of the right industrial robot is a crucial step in the development of the manufacturing firm because of its impact on the production rate, output, and income-generating capacity of the firm. In the last decades, people have started using tools from Multi-Criteria Decision Making (MCDM) to help them make better decisions. Nevertheless, many questions remain unanswered in the literature regarding the usability of these methods in industrial robot selection. To enhance the ability to evaluate and select industrial robots, this study introduces two new methods of MCDM, which are named Sum Weighted Information (SWI) and Sum Weighted Information Exponential (SWEI).