{"title":"Design of Experimental Fuzzy Diagnostic System","authors":"M. Kukucka","doi":"10.1109/RADIOELEK.2007.371479","DOIUrl":null,"url":null,"abstract":"The knowledge and experiences can be collected during study of various mathematical models and accesses and lead the diagnostic system creator to using of fuzzy Petri nets as a representation of the knowledge base rules for experimental diagnostic system creation. I decided for the deductive access system. Information was collected from the experienced expert of thyroid diagnostics. Standardized was number and verbal expression of output diagnostic decisions ( diagnosis recommendation ) which would be offered by the system. Then set of seven basic diagnostic decisions was established. When the measure of detachment of decision and the general limpidity of the whole system increases using the expert system then the endeavour lead to experimental diagnostic system creation. Used was the fuzzy logic. Finally a brief view into \"Fuzzy system\" environment for diagnostic system creation with a part of knowledge base represented by the fuzzy rules was described and the knowledge base graphical representation inform of fuzzy Petri net and its diagnostic evaluation.","PeriodicalId":446406,"journal":{"name":"2007 17th International Conference Radioelektronika","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 17th International Conference Radioelektronika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2007.371479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The knowledge and experiences can be collected during study of various mathematical models and accesses and lead the diagnostic system creator to using of fuzzy Petri nets as a representation of the knowledge base rules for experimental diagnostic system creation. I decided for the deductive access system. Information was collected from the experienced expert of thyroid diagnostics. Standardized was number and verbal expression of output diagnostic decisions ( diagnosis recommendation ) which would be offered by the system. Then set of seven basic diagnostic decisions was established. When the measure of detachment of decision and the general limpidity of the whole system increases using the expert system then the endeavour lead to experimental diagnostic system creation. Used was the fuzzy logic. Finally a brief view into "Fuzzy system" environment for diagnostic system creation with a part of knowledge base represented by the fuzzy rules was described and the knowledge base graphical representation inform of fuzzy Petri net and its diagnostic evaluation.