through several numerical examples to illustrate its advantages in ranking, and a robot selection problem is solved. … ranking methods depend on integration that becomes complicated for nonlinear membership functions, which is the case in robot … selection. The method simply uses the membership function or its derivative. It takes the decision maker's attitude in ranking …

through several numerical examples to illustrate its advantages in ranking, and a robot selection problem is solved. … ranking methods depend on integration that becomes complicated for nonlinear membership functions, which is the case in robot … selection. The method simply uses the membership function or its derivative. It takes the decision maker’s attitude in ranking …

assist the decision makers in robot selection process. However, those methodologies require decision makers to assign … robot selection methodology based on linear physical programming. In addition, fuzzy logic was integrated into the proposed …

Purpose Robot selection is a critical decision-making task frequently experienced in almost every industries. It has … challenging task. The paper aims to discuss these issues. Design/methodology/approach During robot selection, different criteria … industrial robot selection. Assuming all criteria have been quantitative in nature; the paper utilizes two different numeric data …

Purpose – Robot selection is basically a task of choosing appropriate robot among available alternatives with respect … demonstrated in the context of robot selection problem. Finally, a sensitivity analysis has been performed to make the robot … using sensitivity analysis. Originality/value – Robot selection has long been viewed as an important decision …