Representation Requirements for Supporting Decision-Model Formulation
This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to existing representations, some insights are gained into...
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1991
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/3063 https://ink.library.smu.edu.sg/context/sis_research/article/4063/viewcontent/P_ID_52335_Leong_1991_RepReqSupportDecisionModelFormulation.pdf |
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sg-smu-ink.sis_research-40632016-02-05T06:30:05Z Representation Requirements for Supporting Decision-Model Formulation Tze-Yun LEONG, This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to existing representations, some insights are gained into a design approach for integrating categorical and uncertain knowledge in a context sensitive manner. 1991-07-15T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3063 https://ink.library.smu.edu.sg/context/sis_research/article/4063/viewcontent/P_ID_52335_Leong_1991_RepReqSupportDecisionModelFormulation.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Computer Sciences |
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Singapore Management University |
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SMU Libraries |
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Asia |
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Singapore Singapore |
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SMU Libraries |
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InK@SMU |
| language |
English |
| topic |
Artificial Intelligence and Robotics Computer Sciences |
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Artificial Intelligence and Robotics Computer Sciences Tze-Yun LEONG, Representation Requirements for Supporting Decision-Model Formulation |
| description |
This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to existing representations, some insights are gained into a design approach for integrating categorical and uncertain knowledge in a context sensitive manner. |
| format |
text |
| author |
Tze-Yun LEONG, |
| author_facet |
Tze-Yun LEONG, |
| author_sort |
Tze-Yun LEONG, |
| title |
Representation Requirements for Supporting Decision-Model Formulation |
| title_short |
Representation Requirements for Supporting Decision-Model Formulation |
| title_full |
Representation Requirements for Supporting Decision-Model Formulation |
| title_fullStr |
Representation Requirements for Supporting Decision-Model Formulation |
| title_full_unstemmed |
Representation Requirements for Supporting Decision-Model Formulation |
| title_sort |
representation requirements for supporting decision-model formulation |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
1991 |
| url |
https://ink.library.smu.edu.sg/sis_research/3063 https://ink.library.smu.edu.sg/context/sis_research/article/4063/viewcontent/P_ID_52335_Leong_1991_RepReqSupportDecisionModelFormulation.pdf |
| _version_ |
1770572799884132352 |