Selection of industrial robot using interval-valued trapezoidal fuzzy numbers set combined with VIKOR method

Abstract

Recently industrial robots are being immensely applied in almost every manufacturing or production industries for improvement of quality as well as productivity. Depending on the nature of the job to be performed, appropriate robot selection has become an important as well as challenging task for an automated manufacturing cell. Several criteria attributes are assumed to be responsible towards performance of a particular robot. Hence, a strong multi–attribute decision support model is indeed required to facilitate this evaluation and selection process. To address this issue, present work explores the concept of interval–valued trapezoidal fuzzy numbers set integrated with VIKOR method to help such a decision–making problem.