Fuzzy-Copeland ranking method to evaluate multi-disjoint paths selection algorithms

In this paper a new fuzzy evaluation method is proposed to rank several multi disjoint paths selection algorithms in network. This method combines fuzzy theory and Copeland method to evaluate rank of each proposed method base on bandwidth, availability and delay of end to end paths as determinative factors which their importance are expressed in linguistic variables. The Copeland ranking can be seen as an ordering of alternatives according to the stated principle that the more majority wins the better.