首页    期刊浏览 2022年01月20日 星期四
登录注册

文章基本信息

  • 标题:FUZZY APPROACH WITH LINEAR AND SOME NON-LINEAR MEMBERSHIP FUNCTIONS FOR SOLVING MULTI-OBJECTIVE ASSIGNMENT PROBLEMS
  • 本地全文:下载
  • 作者:Kagade K. L. , Bajaj V. H.
  • 期刊名称:Advances in Computational Research
  • 印刷版ISSN:0975-3273
  • 电子版ISSN:0975-9085
  • 出版年度:2009
  • 期号:489
  • 页码:14-17
  • 出版社:Bioinfo Publications
  • 摘要:Assignment Problem (A.P.) originates from the classical problems where the objective is to find the optimum assignment of a number of jobs (tasks) to an equal number of machines (or workers) at a minimum cost or minimum time. The multi-objective assignment problem refers to a special class of vector minimum linear programming problems. In this paper, we use a special type of linear and nonlinear membership functions to solve the multi-objective assignment problem. It gives an optimal compromise solution. The result obtained by using a linear membership function has been compared with the solution obtained by using non-linear membership functions. Numerical example has been provided to illustrate the solution procedure.
国家哲学社会科学文献中心版权所有