A hybrid reasoning mechanism integrated evidence theory and set pair analysis in Swine-Vet

Authors:
Feng Xu;Xiaoping Zheng;Jian Zhang;Zetian Fu;Xiaoshuan Zhang
Affiliations:
Key Laboratory for Modern Precision Agriculture System, Integration at China Agricultural University, Ministry of Education, Beijing 100083, PR China and College of Economic and Management, Beijin ...;Key Laboratory for Modern Precision Agriculture System, Integration at China Agricultural University, Ministry of Education, Beijing 100083, PR China;Key Laboratory for Modern Precision Agriculture System, Integration at China Agricultural University, Ministry of Education, Beijing 100083, PR China and College of Economic and Management, Beijin ...;College of Economic and Management, Beijing Information Science and Technology University, Beijing 100192, PR China;Key Laboratory for Modern Precision Agriculture System, Integration at China Agricultural University, Ministry of Education, Beijing 100083, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

Swine-Vet is a kind of a web-based expert system for swine disease diagnosis and has been promoted in north of China past 3years. The few issues relevant with low diagnosis efficiency and error have arisen during the system test and promotion due to the limitation of previous adopted reasoning techniques and immaturity of diagnosis domain knowledge. This paper proposes a hybrid multimodal reasoning mechanism to resolve the swine intercurrent diseases and improve the system diagnosis efficiency. The framework consists of two modules: one is the forward diagnosing module, information fusion method based on evidence theory is used to solve the barriers of syndrome in swine diagnosis field, and the other is the backward confirming module, set pair analysis (SPA) is adopted to resolve evidence conflict and distinguish uncertain and unknown symptom information during the process of diagnosis. Then, in order to demonstrate this model, a case study is given. Finally, the benefits and challenges of the hybrid multimodal reasoning application in expert system are discussed.