The fuzzy single allocation maximal hub covering problem: a credibility modeling approach

Hub location problem is one of the most important problems in the areas of logistics and telecommunication network design. In this paper, we present a novel fuzzy credibility modelfor a single allocation maximal hub covering problem in which the objective is to maximize the amount of covered flowsassociated with origin-destination pairs in a hub-and-spoke network using a fixed number of hub facilities. A fuzzy chance constrained programming model based on credibility measure isdeveloped for the problem and is solved using a standard optimization package and interesting properties of the model are demonstrated via a series of computational experiments