In some practical situations the decision maker is interested in setting multi aspiration levels for objectives that may not be expressed in a specific manner. So in this paper, Atanassov’s intuitionistic fuzzy transportation problem with multi-item, multi-objective function assuming multiple choices is considered. We have modeled multi-objective multi-choice multi-item Atanassov’s intuitionist...

We present the framework of multiobjective fractional transportation problem in form pentagonal fuzzy supply and demand. The ideal model is set up to match decision makers’ preferences competing for criteria, costs, delivery time, degradation, environmental social concerns are objectives. employed flexible goal programming handle Model’s complexity improve reasonable compromise. real-world wind...

In this paper, new methodologies are proposed for solving unbalanced fuzzy transportation problems without converting into a balanced one. The advantages of these methodologies are to get an optimal solution. In the proposed method, transportation costs, demand and supply are represented by triangular fuzzy numbers. To illustrate the proposed method, numerical examples are solved and the obtain...

Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and transportation processes characterized by subjectivity, ambiguity, uncertainty and imprecision. The basic premises of fuzzy logic systems are presented as well as a detailed analysis of fuzzy logic systems developed to solve various traffic and transportation planning problems. Emphasis is put on the imp...