Adaptive diagnostic system based on fuzzy relations
Causes (diagnoses) are retrieved and identified using observed effects (symptoms) based on fuzzy relations and Zadeh’s compositional rule of inference. An approach to designing adaptive fuzzy diagnostic systems is proposed. It allows solving fuzzy logic equations and designing and adjusting fuzzy re...
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| Veröffentlicht in: | Cybernetics and systems analysis 2009-07, Vol.45 (4), p.623-637 |
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| container_title | Cybernetics and systems analysis |
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| creator | Rotshtein, A. P. Rakytyanska, H. B. |
| description | Causes (diagnoses) are retrieved and identified using observed effects (symptoms) based on fuzzy relations and Zadeh’s compositional rule of inference. An approach to designing adaptive fuzzy diagnostic systems is proposed. It allows solving fuzzy logic equations and designing and adjusting fuzzy relations using expert and experimental information. |
| doi_str_mv | 10.1007/s10559-009-9130-4 |
| format | Article |
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| ispartof | Cybernetics and systems analysis, 2009-07, Vol.45 (4), p.623-637 |
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| language | eng |
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| source | SpringerNature Journals |
| subjects | Artificial Intelligence Control Diagnostics Fuzzy logic Fuzzy sets Linguistics Mathematical analysis Mathematics Mathematics and Statistics Optimization Processor Architectures Software Engineering/Programming and Operating Systems Studies Systems Theory Variables |
| title | Adaptive diagnostic system based on fuzzy relations |
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