A Fuzzy Pooling of Coal Dust Knowledge

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F02%3APU34055" target="_blank" >RIV/00216305:26110/02:PU34055 - 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

A Fuzzy Pooling of Coal Dust Knowledge

Original language description

Relations among different characteristics (e.g. coal dust concentrations and explicability index) of coal dust are complex, integrated, difficult to quantify and therefore relatively ill known. Conventional experimental records (usually tables, graphs) are not suitable for efficient uncertainty reasoning. A fuzzy knowledge base is a flexible framework for acquisition of vague, sparse and inconsistent knowledge. The fuzzy reasoning is to some extent equivalent to a conventional interpolation algorithm capable of interpolating among variously accurate non-equidistant points in a multi-dimensional space. The pooling of the experimental records, industrial observations and retrieved literature knowledge items represent a trade off between minimal modifi-cation of the original data and elimination of obvious inconsistencies among all sets of data. This is an ad hoc and time consuming process that requires highly qualified field experts and knowledge engineers. A sequence of several modifica

Czech name

Fuzzy sdílení znalostí o práškovém uhlí

Czech description

Relations among different characteristics (e.g. coal dust concentrations and explicability index) of coal dust are complex, integrated, difficult to quantify and therefore relatively ill known. Conventional experimental records (usually tables, graphs) are not suitable for efficient uncertainty reasoning. A fuzzy knowledge base is a flexible framework for acquisition of vague, sparse and inconsistent knowledge. The fuzzy reasoning is to some extent equivalent to a conventional interpolation algorithm capable of interpolating among variously accurate non-equidistant points in a multi-dimensional space. The pooling of the experimental records, industrial observations and retrieved literature knowledge items represent a trade off between minimal modifi-cation of the original data and elimination of obvious inconsistencies among all sets of data. This is an ad hoc and time consuming process that requires highly qualified field experts and knowledge engineers. A sequence of several modifica

Type

D - Article in proceedings

CEP classification

JP - Industrial processes and processing

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

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

Article name in the collection

CHISA 2002

ISBN

80-86059-33-2

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

160-168

Publisher name

Česká společnost chemického inženýrství

Place of publication

Praha

Event location

Praha

Event date

Aug 25, 2002

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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