Integrating multiple fuzzy expert systems under restricting requirements

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F06%3A14678" target="_blank" >RIV/60460709:41110/06:14678 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Integrating multiple fuzzy expert systems under restricting requirements

Original language description

Themultiple,differentandspecificexpertisesareoftenneededin makingYES-or-NO(YES/NO)decisionsfortreating a variety of business, economic, and agricultural decision problems. Thisisduetothenatureofsuchproblemsinwhich decisions are influencedbymultiplefactors,andaccordinglymultiplecorrespondingexpertisesarerequired.Fuzzyexpert systems (FESs) are widely used to model expertise due to its capability to model real world values which are not always exact, but frequently vague, or uncertain. In addition, they are able to incorporate qualitative factors. Theproblemof integrating multiple fuzzy expert systems involves several independent and autonomous fuzzy expert systems arranged synergistically to suit a varying problem context. Every expert system participates in judging the problem based on a predefinedmatchbetweenproblemcontextandtherequiredspecificexpertises. Inthisresearch,multipleFESsareintegratedthrough combining their crisp numerical outputs, which reflectthedegreeofbiastotheYes/Nosubj

Czech name

Integrace mnohanásobných fuzzy expertních systémů při omezujících požadavcích

Czech description

Themultiple,differentandspecificexpertisesareoftenneededin makingYES-or-NO(YES/NO)decisionsfortreating a variety of business, economic, and agricultural decision problems. Thisisduetothenatureofsuchproblemsinwhich decisions are influencedbymultiplefactors,andaccordinglymultiplecorrespondingexpertisesarerequired.Fuzzyexpert systems (FESs) are widely used to model expertise due to its capability to model real world values which are not always exact, but frequently vague, or uncertain. In addition, they are able to incorporate qualitative factors. Theproblemof integrating multiple fuzzy expert systems involves several independent and autonomous fuzzy expert systems arranged synergistically to suit a varying problem context. Every expert system participates in judging the problem based on a predefinedmatchbetweenproblemcontextandtherequiredspecificexpertises. Inthisresearch,multipleFESsareintegratedthrough combining their crisp numerical outputs, which reflectthedegreeofbiastotheYes/Nosubj

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Agricultural Economics (Zemědělská ekonomika)

ISSN

0139-570X

e-ISSN

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Volume of the periodical

52

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

187-196

UT code for WoS article

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EID of the result in the Scopus database

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