Uncapacitated phub center problem under uncertainty

Hubs are facilities to collect arrange and distribute commodities in telecommunication networks, cargo delivery systems, etc. in this paper, an uncapacitated phub center problem in case of single allocation and also multiple allocations is introduced in which travel times or transportation costs are considered as fuzzy parameters. then, by proposing new methods, the presented problem is converted to deterministic mixed integer programming (mip) problems where these methods are obtained through the implementation of the possibility theory and fuzzy chance-constrained programming. both possibility and necessity measures are considered separately in the proposed new methods. finally, the proposed methods are applied on the popular cab data set. the computational results of our study show that these methods can be implemented for the phub center problem with uncertain frameworks.