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

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

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

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

Communication, Information, Systems and Sensors

Vrije Universiteit Brussel

Research output: UNPUBLISHED contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

In the present, 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.

Original language	English
Pages	1111-1125
Number of pages	15
Publication status	Published - 1994
Event	Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA Duration: 26 Jun 1994 → 29 Jun 1994

Conference

Conference	Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
City	Orlando, FL, USA
Period	26/06/94 → 29/06/94

Cite this

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title = "Fuzzy reasoning and neural networks for decision making problems in uncertain environment",

abstract = "In the present, 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.",

author = "Christiaan Perneel and Renders, \{Jean Michel\} and Themlin, \{Jean Marc\} and Marc Acheroy",

year = "1994",

language = "English",

pages = "1111--1125",

note = "Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) ; Conference date: 26-06-1994 Through 29-06-1994",

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TY - CONF

T1 - Fuzzy reasoning and neural networks for decision making problems in uncertain environment

AU - Perneel, Christiaan

AU - Renders, Jean Michel

AU - Themlin, Jean Marc

AU - Acheroy, Marc

PY - 1994

Y1 - 1994

N2 - In the present, 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.

AB - In the present, 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.

UR - https://www.scopus.com/pages/publications/0028729350

M3 - Paper

AN - SCOPUS:0028729350

SP - 1111

EP - 1125

T2 - Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)

Y2 - 26 June 1994 through 29 June 1994

ER -

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

Abstract

Conference

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