{"title":"四值逻辑在诊断系统推理过程中的应用","authors":"S. Duer, K. Zajkowski, R. Duer","doi":"10.5604/12345865.1210605","DOIUrl":null,"url":null,"abstract":"The article presents application of logic 4-valuable in the process of reasoning in diagnostic systems. For this purpose, the structure of an intelligent diagnostic system (DIAG 2) is presented and defined. Its essential modules: measurement, calculation, and analysis modules (program of neural network) and diagnostic inference are described. In the literature, there is no development in the field of description and implementation of the logic of the tetravalent in diagnostic systems. The author’s works in this field are innovative ones. Noteworthy is the present diagnostic method used in the system (DIAG 2). The proposed diagnostic method (assessment of the state of the examined object) is based on a comparison of vectors of diagnostic signals with their patterns’ vectors. By comparing the signals, elementary metrics of disparity vectors of diagnostic signals are determined by the neural network. On the basis of the metrics of differential distance, the system requests for diagnostics of the state of elements of the basic object.","PeriodicalId":9068,"journal":{"name":"Biuletyn Wojskowej Akademii Technicznej","volume":"65 1","pages":"41-53"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Zastosowanie logiki czterowartościowej w procesie wnioskowania w systemach diagnostycznych\",\"authors\":\"S. Duer, K. Zajkowski, R. Duer\",\"doi\":\"10.5604/12345865.1210605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents application of logic 4-valuable in the process of reasoning in diagnostic systems. For this purpose, the structure of an intelligent diagnostic system (DIAG 2) is presented and defined. Its essential modules: measurement, calculation, and analysis modules (program of neural network) and diagnostic inference are described. In the literature, there is no development in the field of description and implementation of the logic of the tetravalent in diagnostic systems. The author’s works in this field are innovative ones. Noteworthy is the present diagnostic method used in the system (DIAG 2). The proposed diagnostic method (assessment of the state of the examined object) is based on a comparison of vectors of diagnostic signals with their patterns’ vectors. By comparing the signals, elementary metrics of disparity vectors of diagnostic signals are determined by the neural network. On the basis of the metrics of differential distance, the system requests for diagnostics of the state of elements of the basic object.\",\"PeriodicalId\":9068,\"journal\":{\"name\":\"Biuletyn Wojskowej Akademii Technicznej\",\"volume\":\"65 1\",\"pages\":\"41-53\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biuletyn Wojskowej Akademii Technicznej\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/12345865.1210605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biuletyn Wojskowej Akademii Technicznej","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/12345865.1210605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Zastosowanie logiki czterowartościowej w procesie wnioskowania w systemach diagnostycznych
The article presents application of logic 4-valuable in the process of reasoning in diagnostic systems. For this purpose, the structure of an intelligent diagnostic system (DIAG 2) is presented and defined. Its essential modules: measurement, calculation, and analysis modules (program of neural network) and diagnostic inference are described. In the literature, there is no development in the field of description and implementation of the logic of the tetravalent in diagnostic systems. The author’s works in this field are innovative ones. Noteworthy is the present diagnostic method used in the system (DIAG 2). The proposed diagnostic method (assessment of the state of the examined object) is based on a comparison of vectors of diagnostic signals with their patterns’ vectors. By comparing the signals, elementary metrics of disparity vectors of diagnostic signals are determined by the neural network. On the basis of the metrics of differential distance, the system requests for diagnostics of the state of elements of the basic object.