Representation of fuzzy knowledge bases using Petri nets: operation in the truth space
In this paper the execution of Fuzzy Knowledge Bases in the truth space is briefly analyzed. The computational efficiency of the process is significantly increased by means of a parameterized description based on the linguistic truth values described by Baldwin. This permits executing the Fuzzy Know...
| Autores: | , |
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| Formato: | artículo |
| Fecha de publicación: | 1996 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/3473 |
| Acesso em linha: | https://hdl.handle.net/2099/3473 |
| Access Level: | acceso abierto |
| Palavra-chave: | Fuzzy expert systems Linguistic truth values Fuzzy reasoning in the truth space Fuzzy Petri nets Intel·ligència artificial Classificació AMS::68 Computer science::68T Artificial intelligence |
| Resumo: | In this paper the execution of Fuzzy Knowledge Bases in the truth space is briefly analyzed. The computational efficiency of the process is significantly increased by means of a parameterized description based on the linguistic truth values described by Baldwin. This permits executing the Fuzzy Knowledge Base through operations involving only simple numerical values, thus avoiding the direct analytic manipulation of possibility distributions. A Petri Net-based formalism that permits representing both the Fuzzy Knowledge Base and different dynamic processes performed onto it (execution following different strategies cycles and loops detection) is also presented. The paper focus on the algorithm for carrying out interferences in situations when information for all the input variables in the Fuzzy Knowledge Base is available. |
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