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

Ji, Haifeng; C. Yang, Maria

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

Sinopsis

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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Reseña del editor

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.

Biografía del autor

Haifeng Ji: PhD in Industrial & Systems Engg, MS in Computer Science from the Univ. of Southern California, and MS, BE in Automation from Tsinghua Univ. Currently working at Yahoo! in Sunnyvale, CA. Maria C. Yang: PhD, MS in Mechanical Engg from Standford Univ. and SB from MIT. Currently Assistant Prof. of Mechanical Engg & Engg Systems at MIT.

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