This paper discusses how to solve balanced transportation problems, with costs in the form of trapezoidal fuzzy numbers. Fuzzy are transformed into crisp using Robust’s method as a ranking function. A new approach modified Hungarian has been applied problem transportation. solves one stage optimization and yields same results other methods that two stages.

Many problems of computer science, communication network, transportation systems, can be modeled into multigraphs (or graphs) and then can be solved. Nowadays, the networks are expanding very fast in huge volumes in terms of their nodes and the connecting links. For a given alive network, in many situations, its complete topology may not be always available to the communication systems at a giv...

In this paper, we consider the problem of bus selection for public transportation using a hybrid multicriteria decision making approach. The problem includes several conflicting factors which are economic, social, and technological factors. The integrated approach brings the flexibility of fuzzy AHP and simplicity of fuzzy VIKOR methodology together. To demonstrate the applicability of the meth...

This paper explores the study of Multi-Objective Multi-item Solid Transportation Problem (MMSTP) under fuzzy environment. Realizing impact real-life situations, here we consider MMSTP with parameters, e.g. , transportation cost, supply, and demand, treat as trapezoidal numbers. Trapezoidal numbers are then converted into nearly approximation interval by using (P. Grzegorzewski, Fuzzy Sets Syst....