Multiple parallel fuzzy expert systems utilizing a hierarchical fuzzy model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F07%3A19991" target="_blank" >RIV/60460709:41110/07:19991 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Multiple parallel fuzzy expert systems utilizing a hierarchical fuzzy model

Original language description

Business, economic, and agricultural YES-or-NO decision making problems often require multiple, different and specific expertise?s. This is due to the nature of such problems in which decisions may be influenced by multiple different, relevant aspects, and accordingly multiple corresponding expertise?s are required. Fuzzy expert systems (FESs) are widely used to model expertise?s due to its capability to model real world values, which are not always exact, but frequently vague or uncertain. In this research, different expertise?s, relevant to the decision solution, are modeled using several corresponding FESs. Every FES produces a crisp numerical output expressing the degree of bias toward ?Yes? or ?No? decision. A unified scale is standardized for numerical outputs of all FESs. This scale ranges from 0 to 10, where the value 0 represents complete bias ?No? decision and the value 10 represents complete bias to ?Yes? decision. Intermediate values reflect the degree of bias either to ?Ye

Czech name

Mnohonásobné paralelní expertní systémy užívající hierarchický fuzzy model

Czech description

Business, economic, and agricultural YES-or-NO decision making problems often require multiple, different and specific expertise?s. This is due to the nature of such problems in which decisions may be influenced by multiple different, relevant aspects, and accordingly multiple corresponding expertise?s are required. Fuzzy expert systems (FESs) are widely used to model expertise?s due to its capability to model real world values, which are not always exact, but frequently vague or uncertain. In this research, different expertise?s, relevant to the decision solution, are modeled using several corresponding FESs. Every FES produces a crisp numerical output expressing the degree of bias toward ?Yes? or ?No? decision. A unified scale is standardized for numerical outputs of all FESs. This scale ranges from 0 to 10, where the value 0 represents complete bias ?No? decision and the value 10 represents complete bias to ?Yes? decision. Intermediate values reflect the degree of bias either to ?Ye

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

—

Project

<a href="/en/project/2C06004" target="_blank" >2C06004: Intelligent instruments for evaluation of relevance of content and structure of general and specialised data, information and knowledge sources</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2007

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

—

Volume of the periodical

53

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

5

Pages from-to

89-93

UT code for WoS article

—

EID of the result in the Scopus database

—