OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Case-based reasoning and system design: An integrated approach based on ontology and preference modeling

Romero Bejarano, Juan Camillo and Coudert, Thierry and Vareilles, Elise and Geneste, Laurent and Aldanondo, Michel and Abeille, Joël Case-based reasoning and system design: An integrated approach based on ontology and preference modeling. (2014) Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 28 (1). 49-69. ISSN 0890-0604

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
855kB

Official URL: http://dx.doi.org/10.1017/S0890060413000498

Abstract

This paper addresses the fulfillment of requirements related to case-based reasoning (CBR) processes for system design. Considering that CBR processes are well suited for problem solving, the proposed method concerns the definition of an integrated CBR process in line with system engineering principles. After the definition of the requirements that the approach has to fulfill, an ontology is defined to capitalize knowledge about the design within concepts. Based on the ontology, models are provided for requirements and solutions representation. Next, a recursive CBR process, suitable for system design, is provided. Uncertainty and designer preferences as well as ontological guidelines are considered during the requirements definition, the compatible cases retrieval, and the solution definition steps. This approach is designed to give flexibility within the CBR process as well as to provide guidelines to the designer. Such questions as the following are conjointly treated: how to guide the designer to be sure that the requirements are correctly defined and suitable for the retrieval step, how to retrieve cases when there are no available similarity measures, and how to enlarge the research scope during the retrieval step to obtain a sufficient panel of solutions. Finally, an example of system engineering in the aeronautic domain illustrates the proposed method. A testbed has been developed and carried out to evaluate the performance of the retrieval algorithm and a software prototype has been developed in order to test the approach. The outcome of this work is a recursive CBR process suitable to engineering design and compatible with standards. Requirements are modeled by means of flexible constraints, where the designer preferences are used to express the flexibility. Similar solutions can be retrieved even if similarity measures between features are not available. Simultaneously, ontological guidelines are used to guide the process and to aid the designer to express her/his preferences.

Item Type:Article
Additional Information:Thanks to Cambridge University Press editor. The definitive version is available at http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9153514
HAL Id:hal-00935570
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Laboratory name:
Statistics:download
Deposited By: Thierry Coudert
Deposited On:23 Jan 2014 15:42

Repository Staff Only: item control page