9783844395273-384439527X-Implicit Preferences in Engineering Design: Extraction of Probabilistic Preferences from Early Stage Engineering Design Team Discussion

Implicit Preferences in Engineering Design: Extraction of Probabilistic Preferences from Early Stage Engineering Design Team Discussion

ISBN-13: 9783844395273
ISBN-10: 384439527X
Author: Maria C. Yang, Haifeng Ji
Publication date: 2011
Publisher: LAP LAMBERT Academic Publishing
Format: Paperback 128 pages
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Book details

ISBN-13: 9783844395273
ISBN-10: 384439527X
Author: Maria C. Yang, Haifeng Ji
Publication date: 2011
Publisher: LAP LAMBERT Academic Publishing
Format: Paperback 128 pages

Summary

Implicit Preferences in Engineering Design: Extraction of Probabilistic Preferences from Early Stage Engineering Design Team Discussion (ISBN-13: 9783844395273 and ISBN-10: 384439527X), written by authors Maria C. Yang, Haifeng Ji, was published by LAP LAMBERT Academic Publishing in 2011. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Implicit Preferences in Engineering Design: Extraction of Probabilistic Preferences from Early Stage Engineering Design Team Discussion (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

During the design of products and systems, a core challenge for design teams is to make choices between design concepts that reflect a group's opinion and allows decisions to be traced back over time. Underlying such decision-making is the notion of preferences in which a design team assigns priorities to a set of design choices. "Implicit Preferences in Engineering Design" presents a design team-centered approach for automatically extracting a team's preferences in an implicit, low overhead way, rather than more traditional, explicit strategies via voting, surveys or questionnaires. This work also explores how preferences evolve throughout the design decision-making process. The methods presented in this book provide a quantitative way to understand and represent qualitative design information using an information extraction method that can operate in the background, while design teams go about their normal work. An illustrative case study is included to indicate the applicability of the approaches proposed in the work.

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