Fuzzy reasoning and neural networks for decision making problems in uncertain environment

Author

Perneel, Christiaan ; Renders, Jean-Michel ; Themlin, Jean-Marc ; Acheroy, Marc

Author_Institution

Electr. Eng. Dept., R. Mil. Acad., Brussels, Belgium

fYear

1994

fDate

26-29 Jun 1994

Firstpage

1111

Abstract

In the present paper, neural networks (NN) have been used to optimize the design of a generic expert system based on fuzzy logics. After building this fuzzy expert system, we isolate a set of parameters which are important for the system efficiency, and we show how these parameters can be optimized “automatically” using neural networks. This optimization brings an improvement over the manual tuning of the parameters in the specific case of a fuzzy expert system developed for the automatic target recognition of armoured vehicles starting from short-range infra-red images

Keywords

decision theory; expert systems; fuzzy logic; fuzzy neural nets; inference mechanisms; armoured vehicles; automatic target recognition; decision-making problems; fuzzy expert system; fuzzy logics; fuzzy reasoning; generic expert system; neural networks; short-range infra-red images; uncertain environment; Buildings; Decision making; Design optimization; Expert systems; Fuzzy logic; Fuzzy reasoning; Hybrid intelligent systems; Neural networks; Target recognition; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343891

Filename

343891