作者: Hale Gonce Kocken , Mehmet Ahlatcioglu
DOI: 10.1155/2011/103437
关键词:
摘要: This paper deals with the Multiobjective Linear Transportation Problem that has fuzzy cost coefficients. In solution procedure, many objectives may conflict each other; therefore decision-making process becomes complicated. And also due to fuzziness in costs, this problem a nonlinear structure. paper, objective functions is handled programming technique sense of multiobjective approach. then we present compensatory approach solve coefficients by using Werner’s μand operator. Our generates compromise solutions which are both and Pareto optimal. A numerical example been provided illustrate problem.