scholarly journals EXPERT SYSTEM USING CASE-BASED REASONING TECHNIQUE TO IDENTIFY CLASS OF AN OBJECT BELONGS TO VARIOUS DOMAINS OF KNOWLEDGE BASED SYSTEM

Author(s):  
Nihar Ranjan Hota ◽  
Sushree Sanibigrah
2012 ◽  
Vol 7 (2) ◽  
Author(s):  
Fransica Octaviani S ◽  
Joko Purwadi ◽  
Rosa Delima

Penalaran Berbasis Kasus / Case Based Reasoning (CBR) merupakan metode yang dipergunakan untuk membangun sebuah sistem berbasis pengetahuan. Sumber pengetahuan sistem diperoleh dengan mengumpulkan penanganan kasus-kasus oleh seorang ahli/pakar. Keuntungan dengan penerapan metode ini adalah pembangun pengetahuan tidak perlu melakukan akusisi pengetahuan secara langsung dengan seorang pakar. Pada penelitian ini penulis mengimplementasikan metode CBR untuk membantu pendiagnosisan penyakit anjing. Kasus-kasus yang dipergunakan dalam sistem diperoleh dari catatan penangan kasus diagnosa penyakit anjing dari seorang dokter hewan.  Sistem akan memberikan keluaran berupa kemungkinan penyakit dan saran pengobatan yang didasarkan pada kemiripan kasus baru dengan pengetahuan yang dimiliki sistem. Kata Kunci : Case Based Reasoning, Sistem Berbasis Pengetahuan, Knowledge Based System, penyakit anjing.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Ida Bagus Yoga Semara Putra ◽  
Setiawan Wibisono

Abstract—Dogs are one of the favorite animals that are commonly maintained by humans. Like humans, dogs can also be affected by illness. One common illness suffered by dogs is skin disease. Dog skin diseases that are not immediately handled properly can worsened his condition and can pass it on to other animals even humans. To minimize the problem, we create an expert system to diagnose skin diseases in dogs. In order to support the process, the expert system uses Case Based Reasoning (CBR) method with the algorithm K-Nearest Neighbour (K-NN). The application of K-NN algorithm on CBR's knowledge-based system can provide quick and practical diagnostic results and provide the right advice to the sufferer to obtain alternative treatment information that suits the type of disease. The weight value of the CBR method gained from the classification between symptoms is heavy, moderate, and mild. The appearance of the weight value of each symptom of each disease in the case sample data will be used in the calculation process to obtain the result of a percentage of skin diseases in dogs. The results obtained from this research are the types of diseases suffered and the solution of the disease. Based on system testing of 12 disease data with 27 symptom data obtained at 100% accuracy.


Author(s):  
Pascal Decoussemaeker

The increased complexity of power plants is driving companies to look for ways to effectively capture and re-use know-how acquired in the form of experience made by personnel involved in troubleshooting. In recent years, there has been much progress in the fields of knowledge management in general, and artificial intelligence in particular. One such technology with its roots in cognitive psychology is called case-based reasoning. This paper begins with an overview of the organizational knowledge creation process in general, a description of a technology called case-based reasoning, and an analysis of the advantages of case-based reasoning compared to more classic knowledge-based systems. It then describes what is at stake in the maintenance of mission-critical, high-technology equipment in the power industry, followed by a description of a second-generation expert system based on case-based reasoning that is designed to effectively capture and reuse troubleshooting knowledge within a large organization. Finally, it will illustrate other issues that can be addressed, such as staff turnover, availability of experts, etc..


2014 ◽  
Vol 945-949 ◽  
pp. 1707-1712
Author(s):  
Bin Shen ◽  
Shu Yu Zhao ◽  
Jia Hai Wang ◽  
Juergen Fleischer

Based on the authors previous work of developing an expert system for fault diagnosis of CNC machine tool, this paper studied the theory and method of CNC remote fault diagnosis expert system based on B/S, and presents schema and structure of the expert system in detailed. Case based reasoning is used for the multi-alarm diagnosis, and rule based reasoning is used for single-alarm diagnosis. At last fault diagnosis expert system was designed and developed making use of C# and ASP.NET.


Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.


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