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01995 am a22003133u 4500 |
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58934 |
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|a dc
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|a Broniatowski, David Andre
|e author
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|a Massachusetts Institute of Technology. Center for Transportation & Logistics
|e contributor
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|a Massachusetts Institute of Technology. Department of Mechanical Engineering
|e contributor
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|a Massachusetts Institute of Technology. Engineering Systems Division
|e contributor
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|a Yang, Maria
|e contributor
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|a Broniatowski, David Andre
|e contributor
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|a Coughlin, Joseph F.
|e contributor
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|a Magee, Christopher L.
|e contributor
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|a Yang, Maria
|e contributor
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|a Coughlin, Joseph F.
|e author
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|a Magee, Christopher L.
|e author
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|a Yang, Maria
|e author
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| 245 |
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|a Quantitative Analysis of Group Decision Making for Complex Engineered Systems
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| 260 |
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|b Institute of Electrical and Electronics Engineers,
|c 2010-10-07T15:20:27Z.
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| 856 |
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|z Get fulltext
|u http://hdl.handle.net/1721.1/58934
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|a Understanding group decision-making processes is crucial for design or operation of a complex system. Unfortunately, there are few experimental tools that might contribute to the development of a theory of group decision-making by committees of technical experts. This research aims to fills this gap by providing tools based on computational linguistics algorithms that can analyze transcripts of multi-stakeholder decision-making entities. The U.S. Food and Drug Administration medical device approval committee panel meetings are used as a data source. Preliminary results show that unsupervised linguistic analyses can be used to produce a formal network representation of stakeholder interactions.
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|a MIT-Portugal Program
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| 546 |
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|a en_US
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|a multi-stakeholder decision-making
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|a computational analysis
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|a Article
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|t Proceedings of the 3rd Annual IEEE Systems Conference
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