Improved rule-based backward fuzzy reasoning algorithm
An improved rule-based backward fuzzy reasoning algorithm was pointed. The algorithm is based on the fuzzy Petri net （FPN） which represents fuzzy production rules. The algorithm is also suit for a class of rule-based systems, i.e. it can deal with the fuzzy Petri net model which results from the rea...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2008-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74653875/ |
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| _version_ | 1841537582995865600 |
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| author | ZHANG Wen1 ZHANG Gui-xu1 |
| author_facet | ZHANG Wen1 ZHANG Gui-xu1 |
| author_sort | ZHANG Wen1 |
| collection | DOAJ |
| description | An improved rule-based backward fuzzy reasoning algorithm was pointed. The algorithm is based on the fuzzy Petri net （FPN） which represents fuzzy production rules. The algorithm is also suit for a class of rule-based systems, i.e. it can deal with the fuzzy Petri net model which results from the real system. Via using the algorithm, one can calculate the tokens of any appointed places which correspond to the true fuzzy values of the relevant propositions. Through practical applications, the advantages of the proposed algorithm compared with those present results obtained by the existed algo- rithm. |
| format | Article |
| id | doaj-art-f4cc4624aa0643afa0a3567a9e5d322c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2008-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f4cc4624aa0643afa0a3567a9e5d322c2025-01-14T08:33:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2008-01-0110110574653875Improved rule-based backward fuzzy reasoning algorithmZHANG Wen1ZHANG Gui-xu1An improved rule-based backward fuzzy reasoning algorithm was pointed. The algorithm is based on the fuzzy Petri net （FPN） which represents fuzzy production rules. The algorithm is also suit for a class of rule-based systems, i.e. it can deal with the fuzzy Petri net model which results from the real system. Via using the algorithm, one can calculate the tokens of any appointed places which correspond to the true fuzzy values of the relevant propositions. Through practical applications, the advantages of the proposed algorithm compared with those present results obtained by the existed algo- rithm.http://www.joconline.com.cn/zh/article/74653875/fuzzy Petri netfuzzy production rulebackward reasoningrule-based |
| spellingShingle | ZHANG Wen1 ZHANG Gui-xu1 Improved rule-based backward fuzzy reasoning algorithm Tongxin xuebao fuzzy Petri net fuzzy production rule backward reasoning rule-based |
| title | Improved rule-based backward fuzzy reasoning algorithm |
| title_full | Improved rule-based backward fuzzy reasoning algorithm |
| title_fullStr | Improved rule-based backward fuzzy reasoning algorithm |
| title_full_unstemmed | Improved rule-based backward fuzzy reasoning algorithm |
| title_short | Improved rule-based backward fuzzy reasoning algorithm |
| title_sort | improved rule based backward fuzzy reasoning algorithm |
| topic | fuzzy Petri net fuzzy production rule backward reasoning rule-based |
| url | http://www.joconline.com.cn/zh/article/74653875/ |
| work_keys_str_mv | AT zhangwen1 improvedrulebasedbackwardfuzzyreasoningalgorithm AT zhangguixu1 improvedrulebasedbackwardfuzzyreasoningalgorithm |