Inference processes in incomplete knowledge systems in engineering projects

A substantial number of engineering problems can be qualified as heuristic ones. Inference processes, allowing for their solution, are most frequently performed with rule-based expert systems. Such systems, however, are significantly limited by their possibility of inference only if complete knowle...

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Main Authors: Janusz Szelka, Zbigniew Wrona
Format: Article
Language:English
Published: Lublin University of Technology 2014-12-01
Series:Budownictwo i Architektura
Subjects:
Online Access:https://ph.pollub.pl/index.php/bia/article/view/1875
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spelling doaj-1f4a84d184374f25a61f8cabebbffcc52020-11-25T03:55:57ZengLublin University of TechnologyBudownictwo i Architektura1899-06652544-32752014-12-0113410.35784/bud-arch.1875Inference processes in incomplete knowledge systems in engineering projectsJanusz Szelka0Zbigniew Wrona1Military Academy of Land Forces in Wrocław, University of Zielona GóraCollege of Management "Edukacja” in Wrocław A substantial number of engineering problems can be qualified as heuristic ones. Inference processes, allowing for their solution, are most frequently performed with rule-based expert systems. Such systems, however, are significantly limited by their possibility of inference only if complete knowledge is possessed, which is not always the case in practice (in particular in crisis situations). It is then indispensable to employ other methods and tools. Given the specificity of engineering projects, it seems that case-based reasoning (CBR) is an appropriate solution in this respect. In conjunction with rule-based inference mechanisms, it may constitute a complementary solution, allowing for efficient inference in problem situations in which the level of knowledge completeness varies. https://ph.pollub.pl/index.php/bia/article/view/1875inference in engineering projectsrule-based inference systemsinference with incomplete knowledgecase-based reasoninghybrid engineering inference systems
collection DOAJ
language English
format Article
sources DOAJ
author Janusz Szelka
Zbigniew Wrona
spellingShingle Janusz Szelka
Zbigniew Wrona
Inference processes in incomplete knowledge systems in engineering projects
Budownictwo i Architektura
inference in engineering projects
rule-based inference systems
inference with incomplete knowledge
case-based reasoning
hybrid engineering inference systems
author_facet Janusz Szelka
Zbigniew Wrona
author_sort Janusz Szelka
title Inference processes in incomplete knowledge systems in engineering projects
title_short Inference processes in incomplete knowledge systems in engineering projects
title_full Inference processes in incomplete knowledge systems in engineering projects
title_fullStr Inference processes in incomplete knowledge systems in engineering projects
title_full_unstemmed Inference processes in incomplete knowledge systems in engineering projects
title_sort inference processes in incomplete knowledge systems in engineering projects
publisher Lublin University of Technology
series Budownictwo i Architektura
issn 1899-0665
2544-3275
publishDate 2014-12-01
description A substantial number of engineering problems can be qualified as heuristic ones. Inference processes, allowing for their solution, are most frequently performed with rule-based expert systems. Such systems, however, are significantly limited by their possibility of inference only if complete knowledge is possessed, which is not always the case in practice (in particular in crisis situations). It is then indispensable to employ other methods and tools. Given the specificity of engineering projects, it seems that case-based reasoning (CBR) is an appropriate solution in this respect. In conjunction with rule-based inference mechanisms, it may constitute a complementary solution, allowing for efficient inference in problem situations in which the level of knowledge completeness varies.
topic inference in engineering projects
rule-based inference systems
inference with incomplete knowledge
case-based reasoning
hybrid engineering inference systems
url https://ph.pollub.pl/index.php/bia/article/view/1875
work_keys_str_mv AT januszszelka inferenceprocessesinincompleteknowledgesystemsinengineeringprojects
AT zbigniewwrona inferenceprocessesinincompleteknowledgesystemsinengineeringprojects
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