Integrace několika fuzzy expertních systémů za omezujících podmínek

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F05%3A10400" target="_blank" >RIV/60460709:41110/05:10400 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Integrating Multiple Fuzzy Expert Systems Under Restricting Requirements

Popis výsledku v původním jazyce

The multiple, different and specific expertise?s are often needed in making YES-or-NO (YES/NO) decisions for treating a variety of business, economic, and agricultural decision problems. This is due to the nature of such problems in which decisions are influenced by multiple factors, and accordingly multiple corresponding expertise?s are required. Fuzzy expert 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. The problem of integrating multiple fuzzy expert systems involves several independent and autonomous fuzzy expert systems arranged synergistically to suit a varying problemcontext. Every expert system participates in judging the problem based on predefined match between problem context and the required specific expertise. The reasons for independency can be related to maintainability, decision responsibilit

Název v anglickém jazyce

Integrating Multiple Fuzzy Expert Systems Under Restricting Requirements

Popis výsledku anglicky

The multiple, different and specific expertise?s are often needed in making YES-or-NO (YES/NO) decisions for treating a variety of business, economic, and agricultural decision problems. This is due to the nature of such problems in which decisions are influenced by multiple factors, and accordingly multiple corresponding expertise?s are required. Fuzzy expert 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. The problem of integrating multiple fuzzy expert systems involves several independent and autonomous fuzzy expert systems arranged synergistically to suit a varying problemcontext. Every expert system participates in judging the problem based on predefined match between problem context and the required specific expertise. The reasons for independency can be related to maintainability, decision responsibilit

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Congress on Information Technology in Agriculture, Food and Environment

ISBN

975-487-126-4

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

82-90

Název nakladatele

ITAFE

Místo vydání

Adana

Místo konání akce

Adana, Turkey

Datum konání akce

12. 10. 2005

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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