Sorting Out Fuzzy Transportation Problems via ECCT and Standard Deviation

Finding Standard Deviation of a Fuzzy Number

Solving Fuzzy Step Fixed Charge Transportation Problems via Metaheuristics

In the present paper the step fixed charge transportation problem under uncertainty, particularly when variable and fixed cost are given in fuzzy forms, is formulated. In order to solve the problem, two metaheuristic, simulated annealing algorithm (SA) and variable neighbourhood search (VNS), are developed for this NP-hard problem. Due to the significant role of parameters and operators on the ...

Optimization of Unbalanced Fuzzy Transportation Problems

In this paper, a method is proposed for solving an unbalanced fuzzy transportation problem without converting into a balanced one. The advantage of this method is that it gives an optimal solution. In the proposed method transportation costs, demand and supply are represented by triangular fuzzy numbers. To illustrate the proposed method, a numerical example is solved and the obtained result is...

Izpm for Unbalanced Fuzzy Transportation Problems

Modifications to Vogel’s Approximation Method for obtaining initial solutions to the unbalanced transportation problem are described by many workers. This paper presents a simple and efficient method that is better than the existing methods, easy to understand and also can give an optimal solution. The proposed method, Improved Zero Point Method (IZPM) (see [13]), is used for solving unbalanced...

Construction of α-cut fuzzy X control charts based on standard deviation and range using fuzzy triangular numbers

Control charts are one of the most important tools in statistical process control that lead to improve quality processes and ensure required quality levels. In traditional control charts, all data should be exactly known, whereas there are many quality characteristics that cannot be expressed in numerical scale, such as characteristics for appearance, softness, and color. Fuzzy sets theory is a...