Print Email Facebook Twitter A method to reduce ambiguities of qualitative reasoning for conceptual design applications Title A method to reduce ambiguities of qualitative reasoning for conceptual design applications Author D'Amelio, V. Chmarra, M.K. Tomiyama, T. Faculty Mechanical, Maritime and Materials Engineering Department Biomechanical Engineering Date 2013-01-15 Abstract Qualitative reasoning can generate ambiguous behaviors due to the lack of quantitative information. Despite many different research results focusing on ambiguities reduction, fundamentally it is impossible to totally remove ambiguities with only qualitative methods and to guarantee the consistency of results. This prevents the wide use of qualitative reasoning techniques in practical situations, particularly in conceptual design, where qualitative reasoning is considered intrinsically useful. To improve this situation, this paper initially investigates the origin of ambiguities in qualitative reasoning. Then it proposes a method based on intelligent interventions of the user who is able to detect ambiguities, to prioritize interventions on these ambiguities, and to reduce ambiguities based on the least commitment strategy. This interaction method breaks through the limit of qualitative reasoning in practical applications to conceptual design. The method was implemented as a new feature in a software tool called the Knowledge Intensive Engineering Framework in order to be tested and used for a printer design. Subject ambiguity reductionconceptual designqualitative process theoryqualitative reasoninguser intervention To reference this document use: http://resolver.tudelft.nl/uuid:4368c493-b659-47fb-aa43-22503a692a15 DOI https://doi.org/10.1017/S0890060412000364 Publisher Cambridge University Press Embargo date 2014-01-15 ISSN 1469-1760 Source http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8820276 Source Artificial Intelligence for Engineering Design, Analysis and Manuufacturing, AI EDAM, 27 (1), 2013 Part of collection Institutional Repository Document type journal article Rights (c) 2013 Cambridge University Press Files PDF Chmarra_2013.pdf 1.08 MB Close viewer /islandora/object/uuid:4368c493-b659-47fb-aa43-22503a692a15/datastream/OBJ/view