A new expected value model for the fuzzy shortest path problem

Abstract

Here, we consider a network, whose arc lengths are intervals or triangular fuzzy numbers. A new comparison technique based on the expected value of intervals and triangular fuzzy numbers is introduced. These expected values depend on a parameter which reflects the optimism/pessimism level of the decision-maker. Moreover, they can be used for negative intervals or triangular fuzzy numbers.