A fuzzy multi-objective decision support system for nonwoven products experiment design

被引：1

作者：

Lu, Jie ^{[1
]}

Deng, Xiaoguang ^{[2
]}

Zeng, Xianyi ^{[2
]}

Vroman, Philippe ^{[2
]}

Wu, Fengjie ^{[1
]}

Zhang, Guangquan ^{[1
]}

机构：

[1] Univ Technol Sydney, Fac Informat Technol, POB 123, Broadway, NSW 2007, Australia

[2] Ecole Natl Super Arts & Ind Text, F-59056 Roubaix, France

来源：

COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL | 2008年 / 1卷

基金：

澳大利亚研究理事会;

关键词：

D O I：

10.1142/9789812799470_0129

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Experiment design often involves multiple objectives and uncertain data in its optimizing process. Fuzzy multi-objective linear programming (FMOLP) is an appropriate method to handle this problem. For the case of modeling nonwoven-based resilient product experiment design, we first obtain the parameter values of objectives functions from a set of experiments. As these parameter values are in the form of distributions, we transfer them into membership functions and then formulate a FMOLP model. We finally develop a fuzzy multi-objective decision support system (FMODSS) to present this model and get a solution of this problem.

引用

页码：787 / 792

页数：6

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