An Approach for a Multi-Objective Capacitated Transportation Problem

View Sample PDF

Author(s): Nurdan Kara (National Defence University, Turkey)and Hale Gonce Köçken (Yildiz Technical University, Turkey)
Copyright: 2023
Pages: 15
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch143

Keywords: Data Analysis and Statistics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

Purchase

View An Approach for a Multi-Objective Capacitated Transportation Problem on the publisher's website for pricing and purchasing information.

Abstract

The multi-objective solid transportation problem is a special class of vector-minimum linear programming problems in which the objectives are often in conflict. Furthermore, the supply, demand, and conveyance constraints in MSTP may not be only of equality type but also of inequality type. The fuzzy programming approach is one of the most common solution methods for multi-objective programming problems. In this approach, linear membership functions are generally used in the literature. In this study, the fuzzy programming approach is applied by utilizing a special type of non-linear (exponential) membership functions to solve the multi-objective capacitated solid transportation problem (MCSTP) and a Pareto-optimal solution is obtained. Finally, an application from the literature is provided to illustrate the efficiency of the exponential membership function. Also, a comparison is presented with the solution obtained by using a linear membership function.

The IRMA Community

Research IRM

An Approach for a Multi-Objective Capacitated Transportation Problem

Purchase

Abstract

Related Content

IRMA Sponsors