A novel method for evaluating decision making units based on fuzzy sets type two

Abstract

A review of previous studies reveals that recently definition of quality has been an important issue in capture of trade. Furthermore,
because of the improvements in quality level of products and offering services as main causes of surpassing the rivals, it could be concluded
that it would take a major contribution of market. Therefore, today the meaning of quality is developing as a public culture. Fuzzy set theory
has been applied to many areas which need to manage vague data such as decision making, optimization, control and so on. In the decision
analysis of the fuzzy environment fuzzy numbers need to be compared and discriminated with decision makers. Thus, in this paper researchers
proposed a novel approach to evaluate fuzzy quantities based on interval valued. It combines the concept of geometric distance with areas and
COG points of interval valued belonged to generalized trapezoidal fuzzy numbers. We also proposed an adjustment algorithm for interval
valued fuzzy numbers. Finally some numerical Examples are represented.