Towards Automation of Cause-Effect Analysis

Jerzy Chrząszcz

Abstract

Creating, manipulating, analysing and presenting complex cause-effect diagrams are challenging tasks, and in times of Artificial Intelligence (AI) invading several areas of human activity the expectation of supporting cause-effect analysis process with automated tools seems reasonable. Perhaps in the near future fully-autonomous AI-based expert systems will be able to process cause-effect diagrams drawn by hand and formulate accurate recommendations for solutions. Meanwhile, this short paper reports on awork in progress, which is focused on building and using the causality matrix–a computer-friendly representation of models developed during Cause-Effect Chains Analysis (CECA). The paper briefly presents the implementation of the matrix in the MS Excel environment, together with a method of supporting selection of key disadvantages in an automated way using Boolean expressions.
Author Jerzy Chrząszcz (FEIT / IN)
Jerzy Chrząszcz,,
- The Institute of Computer Science
Journal seriesTRIZ Review: Journal of the International TRIZ Association - MATRIZ, ISSN , e-ISSN 2641-9912
Issue year2020
Vol2
No1
Pages100-105
Publication size in sheets0.5
Keywords in EnglishTRIZ, Cause-Effect Chains Analysis, Boolean expression, key disadvantage, key problem
URL https://matriz.org/wp-content/uploads/2020/04/TRIZ-Review-vol-2-1-April-2020.pdf
Languageen angielski
Score (nominal)5
Score sourcejournalList
ScoreMinisterial score = 5.0, 02-05-2020, ArticleFromJournal
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