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

fYear

1996

Firstpage

271

Lastpage

275

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISAP.1996.501081

Filename

501081