The Expected Value of Imperfect Information to Fuzzy Programming

Authors:
Mingfa Zheng;Guoli Wang;Guangxing Kou;Jia Liu
Affiliations:
Department of Applied Mathematics and Physics, Air Force Engineering University, Xi'an, China 710051;College of Mathematics & Computer Science, Hebei University, Baoding, China 071002;Department of Applied Mathematics and Physics, Air Force Engineering University, Xi'an, China 710051;Department of Applied Mathematics and Physics, Air Force Engineering University, Xi'an, China 710051
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Year:
2009

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Abstract

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.