An intelligent scenarios generator for strategic business planning

Author

Li, Xiang ; Ang, Cheng Leong ; Wang, Pei Zhuang

Author_Institution

Inst. of Manuf. Technol., Nanyang Technol. Univ., Singapore

Volume

1

fYear

1994

fDate

2-5 Oct 1994

Firstpage

177

Abstract

This paper proposes an intelligent scenario generator (ISG) based on fuzzy truth value flow inference theory and neural network method. The new system is aimed at the prediction of future scenarios for strategic business planning. It can handle both quantitative and fuzzy information and can revise fuzzy relations according to reference scenario(s) through a learning algorithm. Such a system will overcome the deficiencies and limitations of the traditional scenarios forecasting techniques

Keywords

corporate modelling; fuzzy set theory; inference mechanisms; knowledge based systems; neural nets; fuzzy information; fuzzy truth value flow inference theory; intelligent scenarios generator; learning algorithm; neural network; quantitative information; reference scenario; strategic business planning; Business; Demography; Economic forecasting; Fuzzy neural networks; Inference algorithms; Intelligent networks; Logic; Neural networks; Research and development; Strategic planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-2129-4

Type

conf

DOI

10.1109/ICSMC.1994.399832

Filename

399832