System Modelling and Decision Making System Based on Fuzzy Expert System

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801QE1" target="_blank" >RIV/61988987:17610/17:A1801QE1 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43110/17:43913239

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

System Modelling and Decision Making System Based on Fuzzy Expert System

Original language description

They are available many modeling and decision making systems. Some of them are basedon statistical methods like time series analysis. The general problem of these systems is thatthey cannot correctly react to the changes of modeled systems and their environment. Thispaper presents an approach based on the fuzzy expert system application, which is able torepresent the expert knowledge about the modeled system behavior. This approach combinesthe statistical methods with expert knowledge and is able to give appropriate informationabout the system behavior and help with the decision making process. The presented paperdescribes general principles of this system and its application for waste production modelingas a part of the decision making of the company for waste treatment. This company is ableto optimize its resources and warehouse stock management to minimize the production costs.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Name of the periodical

European Journal of Business Science and Technology

ISSN

2336-6494

e-ISSN

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Volume of the periodical

3

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

118-122

UT code for WoS article

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EID of the result in the Scopus database

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