The Expected Value of Imperfect Information to Fuzzy Programming

被引：0

作者：

Zheng, Mingfa ^{[1
]}

Wang, Guoli ^{[2
]}

Kou, Guangxing ^{[1
]}

Liu, Jia ^{[1
]}

机构：

[1] AF Engn Univ, Dept Appl Math & Phys, Xian 710051, Peoples R China

[2] Hebei Univ, Coll Math & Comp Sci, Baoding 071002, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS | 2009年 / 5552卷

关键词：

Fuzzy programming; Expected value of perfect information; Expected value of imperfect information;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper is concerned with Finding the expected value of imperfect information to two-stage fuzzy programming. In this paper we firstly present the definition which is the sum of pairs expected value, then obtain the definition of expected value of imperfect information based on the concept, and discuss its rationality. In addition, several numerical examples are also given to explain the definitions. The results obtained in this paper can be used to fuzzy optimization as we design algorithm to estimate the value of imperfect information.

引用

页码：80 / +

页数：2

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