A new class of two-stage expected velue model with fuzzy parameters

Author

Yuan, Guo-qiang ; Zhao, Li ; Meng, Ming-qiang

Author_Institution

Dept. of Basic Courses, Hebei Coll. of Finance, Baoding, China

Volume

1

fYear

2009

fDate

12-15 July 2009

Firstpage

515

Lastpage

519

Abstract

To model fuzzy dynamic capacity acquisition and assignment, the paper considers a fuzzy expected value model based on credibility theory and two-stage fuzzy optimization method. After that, a solution approach, which combines fuzzy simulations, neural network (NN) and genetic algorithm (GA), is designed to solve this proposed two-stage fuzzy dynamic capacity acquisition and assignment problem. At the end of this paper, a numerical example is provided to show the feasibility and effectiveness of the algorithm.

Keywords

capacity planning (manufacturing); fuzzy set theory; genetic algorithms; neural nets; capacity expansion; credibility theory; fuzzy dynamic capacity acquisition; fuzzy dynamic capacity assignment; fuzzy expected value model; fuzzy parameter; fuzzy simulation; genetic algorithm; neural network; two-stage fuzzy optimization; Algorithm design and analysis; Capacity planning; Chromium; Cybernetics; Educational institutions; Fuzzy neural networks; Genetic algorithms; Machine learning; Mathematical model; Neural networks; Capacity expansion; Credibility theory; Fuzzy simulations; Genetic algorithm; Two-stage fuzzy optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212482

Filename

5212482