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Communication Dans Un Congrès Année : 2021

Indicating and Assessing Quality Criteria for Cause-Effect Models

Résumé

It seems to be a common understanding in the TRIZ community that cause-effect models built for the same problems by different analysts may differ a lot and also that it requires some practice to build “good” cause-effect models. This paper aims at identifying reasonable quality criteria and feasible ways of applying them to models developed using Cause-Effect Chains Analysis (CECA) and Root Conflict Analysis (RCA+). The paper starts with considerations about human factors in causal modeling and a review of the relevant TRIZ literature. Then various approaches to quality are briefly presented, and the proposed assessment method is described. Although the most important semantic level has not been addressed, the rules of syntactical correctness have been formulated, which may be used for automated model validation in software applications.
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Dates et versions

hal-04067829 , version 1 (13-04-2023)

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Paternité

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Jerzy Chrząszcz. Indicating and Assessing Quality Criteria for Cause-Effect Models. TRIZ Future conference, Sep 2021, Bolzano, Italy. pp.220-232, ⟨10.1007/978-3-030-86614-3_18⟩. ⟨hal-04067829⟩
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