Time-Based Modeling of Linguistic Preference to Preferential Probability
Author(s)
Dong, Andy
Honda, Tomonori
Yang, Maria C.
Date Issued
August 2011
Journal
Volume 9: 23rd International Conference on Design Theory and Methodology; 16th Design for Manufacturing and the Life Cycle Conference
Publisher
ASME International
Citation
Dong, Andy, Tomonori Honda, and Maria C. Yang. “Time-Based Modeling of Linguistic Preference to Preferential Probability.” Volume 9: 23rd International Conference on Design Theory and Methodology; 16th Design for Manufacturing and the Life Cycle Conference (2011).
Version
Final published version
Abstract
In this paper, we present a method to estimate the likely concept a committee of designers will select given their verbalized preferences toward each alternative. In order to perform this estimation, we present a new method of preference elicitation based on natural language. First, we show a way to model preference in the natural language of appraisal, which describes the degree of intensity and the uncertainty of preference based upon gradable semantic resources to express appraisals. We then show a way to map linguistic appraisals into probability distribution functions. Finally, we present a Markov model that utilizes these probability distribution functions in state transition matrices to calculate in a time-varying manner the change of preference over time. We present a case study to illustrate the validity of the method.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/DETC2011-47074
