Identifying Characteristic of Human Bone of Radiology Using Fuzzy System

Abstract

Artificial intelligence approach has been identified, as one of the emerging areas which is used for solving complex problem. Medical diagnosis is an excellent example, due to the obvious complexity of human mental and physical health, as well as our limited and hazy understanding of how these function. This knowledge changes depending on the user s level of ability. The studies of human physiology quickly create enormous numbers of cause-effect relations at many interacting levels of both description and function when using a systematic method to domain knowledge acquisition. The information available for the search of domain knowledge for diagnosis is also generally unclear and incomplete; in that case one has to observe the nature of body psychology / physiology to complete domain knowledge. The level of expertise of the physician in the diagnosis process cannot be omitted. It is also important to keep in mind that the speed of the diagnostic process is also important, need to develop techniques in artificial intelligence that can make rapid, reliable, and accurate diagnosis with limited and unclear information. newlineExperts in Artificial Intelligence have developed technology that can make rapid, reliable and accurate diagnosis with limited and vague information. In this technique, the data is first pre-processed and classified into different categories based on the characteristic or quality of the data. The categories for classification are established by human experts, and in situations of uncertain information there may be disagreement among experts on categories for classification. newline