Title :
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
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;
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
DOI :
10.1109/ICSMC.1994.399832
