In conventional transportation problem, supply, demand and costs are fixed crisp numbers.
Therefore, in this situation, the decision maker (DM) can predict transportation cost exactly …

To deal with the unpredictability of certain parameters of the transportation problem like fuel
charges, climatic conditions, supply and demand of the product, etc., the concept of fuzzy …

To meet the growing demand for public facilities and services, many developing countries,
including China, have adopted the concept of public–private partnership (PPP). However …

Most of the existing methods for solving fully fuzzy mathematical programs are based on the
standard fuzzy arithmetic operations and/or Zadeh's extension principle. These methods …

The fusion of evolutionary algorithms and the solution concepts of cooperative game theory
is proposed in this paper to solve the fuzzy optimization problems. The original fuzzy …

In this work, a new method is presented for locating fuzzy optimal (nondominated) solutions
of a fully fuzzy linear programming problem with inequality constraints and triangular fuzzy …

One of the prime goals of an organisation is to establish good transportation and supply
chain network to optimise the delivery costs. In practice network parameters are often …

In this paper, triangular fuzzy numbers (TFN) are used to represent the uncertainty of data in
the transportation problems (TP), which are referred to as fuzzy transportation problems …

Based on the literature, many algorithms have been proposed to solve fuzzy transportation
problems in real life. Among the existing algorithms, some do not use the ranking method to …

In this study, we extend the research on the multimodal routing problem by considering
flexible time window and multi-uncertainty environment. A multi-uncertainty environment …