Title :
BISC decision support system: fuzzy logic-GA based decision and risk analysis
Author :
Nikravesh, Masoud
Author_Institution :
Div. of Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
In this paper, we introduce the BISC (Berkeley Initiative in Soft Computing) decision support system (DSS) as an alternative for ranking and predicting the risk for problems which utilize an imprecise and subjective process. The BISC DSS\´s key features are: (i) intelligent tools to assist decision makers in assessing the consequences of decisions made in an environment of imprecision, uncertainty and partial truth, and in providing a systematic risk analysis, (ii) intelligent tools to assist decision-makers in answering "what-if" questions, examining numerous alternatives very quickly and finding the values of inputs required to achieve a desired level of output, and (iii) intelligent tools to be used with human interaction and feedback to achieve a capability to learn and adapt over time.
Keywords :
adaptive systems; decision support systems; fuzzy logic; genetic algorithms; learning (artificial intelligence); risk management; uncertainty handling; BISC decision support system; Berkeley Initiative in Soft Computing; adaptability; alternatives examination; decision analysis; decision consequences assessment; feedback; fuzzy logic; genetic algorithm-based analysis; human interaction; imprecise subjective process; imprecision; input values; intelligent tools; learning capability; output level; partial truth; risk prediction; risk ranking; systematic risk analysis; uncertainty; what-if questions; Decision making; Decision support systems; Environmental management; Fuzzy logic; Fuzzy systems; Knowledge management; Resource management; Risk analysis; Risk management; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
DOI :
10.1109/NAFIPS.2002.1018081
