Title :
A fuzzy constrained decision planning tool to model uncertainties in multiobjective configuration problems
Author :
Kagan, N. ; Oliveira, C.C.B.
Author_Institution :
Dept. of Electr. Eng., Sao Paulo Univ., Brazil
Abstract :
This paper presents a tool to model decision problems that are characterized by a hierarchical structure of goals subject to general constraints. This tool is specially suitable for modeling multiobjective configuration problems under uncertainty. Fuzzy set theory is used to consider the subjective and uncertain aspects inherent in decision problems. A best first search heuristic approach allows for fast determination of feasible solutions which are oriented towards the best compromise solution by means of a specific compound index that takes into account and weights the multiple criteria. A particular application-fuzzy multiobjective distribution planning problem-is dealt with in this paper, showing the capabilities of this new tool
Keywords :
decision theory; distribution networks; fuzzy set theory; power system planning; uncertainty handling; best first search heuristic approach; decision problems; distribution planning; fuzzy constrained decision planning tool; fuzzy set theory; multiobjective configuration problems; specific compound index; uncertainties modelling; Art; Data analysis; Data engineering; Electronic mail; Fuzzy set theory; Inference mechanisms; Power system modeling; Power system planning; Switched capacitor networks; Uncertainty;
Conference_Titel :
Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3115-X
DOI :
10.1109/ISAP.1996.501081
