A conflict resolution model using logic scoring of preference for expert systems
An Expert System is a type of system that usually has a knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular solution. It is an Artificial Intelligence Based System that performs task that otherwise is performed by a human expert. A p...
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oai:animorepository.dlsu.edu.ph:faculty_research-120572023-10-13T08:17:13Z A conflict resolution model using logic scoring of preference for expert systems Africa, Aaron Don M. An Expert System is a type of system that usually has a knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular solution. It is an Artificial Intelligence Based System that performs task that otherwise is performed by a human expert. A problem with these systems is that it may output several Possible Causes for a set of Symptoms. In return, the user will still have a coarse time in doing diagnostic procedures. A solution to this problem is to apply a Conflict Resolution model. This paper presents a Conflict Resolution model using Logic Scoring of Preference (LSP) to be used in an Expert System for Information System Communication Networks. This can aide the user in diagnostic procedures and reduce trial and error. 2013-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/9829 Faculty Research Work Animo Repository Conflict management Dispute resolution (Law) Databases and Information Systems |
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Conflict management Dispute resolution (Law) Databases and Information Systems Africa, Aaron Don M. A conflict resolution model using logic scoring of preference for expert systems |
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An Expert System is a type of system that usually has a knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular solution. It is an Artificial Intelligence Based System that performs task that otherwise is performed by a human expert. A problem with these systems is that it may output several Possible Causes for a set of Symptoms. In return, the user will still have a coarse time in doing diagnostic procedures. A solution to this problem is to apply a Conflict Resolution model. This paper presents a Conflict Resolution model using Logic Scoring of Preference (LSP) to be used in an Expert System for Information System Communication Networks. This can aide the user in diagnostic procedures and reduce trial and error. |
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Africa, Aaron Don M. |
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Africa, Aaron Don M. |
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Africa, Aaron Don M. |
title |
A conflict resolution model using logic scoring of preference for expert systems |
title_short |
A conflict resolution model using logic scoring of preference for expert systems |
title_full |
A conflict resolution model using logic scoring of preference for expert systems |
title_fullStr |
A conflict resolution model using logic scoring of preference for expert systems |
title_full_unstemmed |
A conflict resolution model using logic scoring of preference for expert systems |
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conflict resolution model using logic scoring of preference for expert systems |
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Animo Repository |
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2013 |
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https://animorepository.dlsu.edu.ph/faculty_research/9829 |
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