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%2F05%3A10400" target="_blank" >RIV/60460709:41110/05:10400 - 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

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

Czech name

Integrace několika fuzzy expertních systémů za omezujících podmínek

Czech description

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

Type

D - Article in proceedings

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

2005

Confidentiality

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

Article name in the collection

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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Number of pages

9

Pages from-to

82-90

Publisher name

ITAFE

Place of publication

Adana

Event location

Adana, Turkey

Event date

Oct 12, 2005

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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