In China,there is a troubling shortage of well-trained equine veterinarians,leaving the needs of many equine farmers unmet.This is especially true with respect to the diagnosis of equine diseases.To solve this shortco...In China,there is a troubling shortage of well-trained equine veterinarians,leaving the needs of many equine farmers unmet.This is especially true with respect to the diagnosis of equine diseases.To solve this shortcoming,an equine disease diagnosis expert system was developed.For the aspect of knowledge representation,the structure of equine disease diagnosis knowledge was analyzed using an ontology system.Next,the clinical signs were described using an object-attribute-value(O-A-V)format,and the knowledge representation was then expressed using production rules.With respect to the reasoning mechanism,the weights of the clinical signs and promoted confidence factors(PCF)were combined to express information and rules pertaining to clinical signs with an associated level of uncertainty.The model was established based on improved reasoning of evidence credibility.Finally,using the ASP.Net platform and the SQL Server 2008 database,the equine disease diagnosis expert system based on the B/S structure has been developed,and is capable of reliably diagnosing 40 of the most common equine diseases.A functional evaluation of the system was conducted,and the diagnostic accuracy was observed to be 88%.This study demonstrates a bright prospect for the popularization and application of the system through continuous system maintenance and knowledge-based updates.展开更多
Based on the framework of evidence theory, data fusion aims at obtaining a single Basic Probability Assignment (BPA) function by combining several belief functions from distinct information sources. Dempster’s rule o...Based on the framework of evidence theory, data fusion aims at obtaining a single Basic Probability Assignment (BPA) function by combining several belief functions from distinct information sources. Dempster’s rule of combination is the most popular rule of combinations, but it is a poor solution for the management of the conflict between various information sources at the normalization step. Even when it faces high conflict information, the classical Dempster-Shafer’s (D-S) evidence theory can involve counter-intuitive results. This paper presents a modified averaging method to combine conflicting evidence based on the distance of evidences; and also gives the weighted average of the evidence in the system. Numerical examples showed that the proposed method can realize the modification ideas and also will provide reasonable results with good convergence efficiency.展开更多
基金We would like to thank the Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine,and all of the veterinarians who contributed to this study.This work was supported by the Major Program of Applied Technology Research and Development Plan of Heilongjiang Province(Grant No.GA18B203)the National Project for Prevention and Control of Transboundary Animal Diseases(Grant No.2017YFD0501800)the National Key R&D Program for the 13th Five-Year Plan,the Ministry of Science and Technology,China.
文摘In China,there is a troubling shortage of well-trained equine veterinarians,leaving the needs of many equine farmers unmet.This is especially true with respect to the diagnosis of equine diseases.To solve this shortcoming,an equine disease diagnosis expert system was developed.For the aspect of knowledge representation,the structure of equine disease diagnosis knowledge was analyzed using an ontology system.Next,the clinical signs were described using an object-attribute-value(O-A-V)format,and the knowledge representation was then expressed using production rules.With respect to the reasoning mechanism,the weights of the clinical signs and promoted confidence factors(PCF)were combined to express information and rules pertaining to clinical signs with an associated level of uncertainty.The model was established based on improved reasoning of evidence credibility.Finally,using the ASP.Net platform and the SQL Server 2008 database,the equine disease diagnosis expert system based on the B/S structure has been developed,and is capable of reliably diagnosing 40 of the most common equine diseases.A functional evaluation of the system was conducted,and the diagnostic accuracy was observed to be 88%.This study demonstrates a bright prospect for the popularization and application of the system through continuous system maintenance and knowledge-based updates.
基金Project (No. 51476040103JW13) supported by the National DefenseKey Laboratory of Target and Environment Feature of China
文摘Based on the framework of evidence theory, data fusion aims at obtaining a single Basic Probability Assignment (BPA) function by combining several belief functions from distinct information sources. Dempster’s rule of combination is the most popular rule of combinations, but it is a poor solution for the management of the conflict between various information sources at the normalization step. Even when it faces high conflict information, the classical Dempster-Shafer’s (D-S) evidence theory can involve counter-intuitive results. This paper presents a modified averaging method to combine conflicting evidence based on the distance of evidences; and also gives the weighted average of the evidence in the system. Numerical examples showed that the proposed method can realize the modification ideas and also will provide reasonable results with good convergence efficiency.
