511
Views
53
CrossRef citations to date
0
Altmetric
Articles

Automatic evaluation of design alternatives with quantitative argumentation

, , , &
Pages 24-49 | Received 15 May 2014, Accepted 21 Oct 2014, Published online: 09 Feb 2015
 

Abstract

This paper presents a novel argumentation framework to support Issue-Based Information System style debates on design alternatives, by providing an automatic quantitative evaluation of the positions put forward. It also identifies several formal properties of the proposed quantitative argumentation framework and compares it with existing non-numerical abstract argumentation formalisms. Finally, the paper describes the integration of the proposed approach within the design Visual Understanding Environment software tool along with three case studies in engineering design. The case studies show the potential for a competitive advantage of the proposed approach with respect to state-of-the-art engineering design methods.

Acknowledgements

The authors are grateful to the anonymous reviewers for their helpful comments. The authors thank V. Evripidou and E. Marfisi for their support and cooperation. Aurisicchio and Toni thank the support of a Faculty of Engineering EPSRC Internal Project on ‘Engineering design knowledge capture and feedback’.

Conflict of interest disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. Here, separability amounts to absence of interaction between attackers and supporters.

2. The expression of fsupp corresponds to the T-conorm operator also referred to as probabilistic sum in the literature (Klement, Mesiar, & Pap, Citation2000).

4. The code is available from the designVUE web site.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.