Jixie chuandong (Jan 2023)
Scheme Configuration of Deformable Spherical Robot Based on Fuzzy Rough Number
Abstract
Aiming at the problem of subjectivity and uncertainty in the configuration and selection of spherical robot design schemes in multi-demand unstructured environments, a scheme evaluation method coupled with fuzzy rough number and complex proportional assessment (COPRAS) is proposed. Considering the importance relationship between different demand characteristic indexes in scheme design, the quantitative analysis of demand characteristic indexes is realized based on fuzzy rough number. The COPRAS method is used to comprehensively evaluate all alternative design schemes, and the priority ranking of all alternative design schemes is obtained according to the utility index to determine the optimal configuration scheme. The selection of deformable spherical robot is taken as an example for evaluation and verification. The results show that the method has good reliability and practicability, which provides an effective reference for the configuration and selection of the robot design scheme in the future.
