Nonlinear Optimization Subject to a System of Fuzzy Relational Equations with Max-min Composition

摘要：

In this paper we show that the problem of minimizing a nonlinear objective function subject to a system of fuzzy relational equations with max-min composition can be reduced to a 0-1 mixed integer programming problem. The reduction method can be extended to the case of fuzzy relational equations with max-T composition as well as those with more general composition.

关键词： Fuzzy relational equations fuzzy optimization mixed integer programming

作者: Pingke Li Shu-Cherng Fang Xingzhou Zhang

作者单位: Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University, Ra Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University, Ra College of Management, Dalian University of Technology, Dalian 116024, China

会议类型: 国际会议

会议名称: The Seventh International Symposium(ISORA08)(第七届国际效力研究及其应用学术会议)

会议地点: 云南丽江

会议语种:英文

页码: 1-9

在线出版日期: 2008-10-31（万方平台首次上网日期，不代表论文的发表时间）