Most fuzzy controllers and fuzzy expert systems must predefine membership functions and fuzzy inference rules to map numeric data into linguistic variable terms and to make fuzzy reasoning work. In this paper, we propose a general learning method as a framework for automatically deriving membership functions and fuzzy if-then rules from a set of given training examples to rapidly build a protot...

This paper expresses the prominent features of the fuzzy expert system by applying the algorithm Fuzzy Assessment Methodology using K ratio. To diagnosis the diabetes Fuzzy Assessment Methodology using k ratio is developed. Fuzzy Expert System consists of following elements such as Fuzzification interface, Fuzzy Assessment Methodology using K ratio and Defuzzification interface. The crisp value...

One of the superior capabilities of fuzzy systems is that they can use the information expressed in a linguistic pattern. Though most fuzzy systems, have been formed to emulate human decision making behaviour, the linguistic information stated by an expert may not be precise or that it is difficult for the expert to articulate the accumulated knowledge to encompass all circumstances. Hence, it ...

Fault diagnosis of pneumatic system of automatic production line is studied in this paper. A fuzzy neural network fault diagnosis expert system and pneumatic circuit fault diagnosis instrument are designed. The experiment device is built as well. In the end some experiments are done, whose results show that the expert system using fuzzy neural network can diagnose fast and truly fault of pneuma...

An effective system testing activity for consecutive releases of very large software systems depends considerably on the selection of test cases for execution. From a practical point of view, it is not feasible to run all possible test cases because of the real-world constraints of limited time, human and monetary resources. While existing techniques for test case selection provide methods to l...

The clinical interpretation of fetal heart rate traces is a difficult task that has led to the development computerised assessment systems. These systems are limited by their inability to represent uncertainty. This paper describes the first stage in the development of a fu2zy expert system for fetal heart rate assessment. A preliminary evaluation study comparing the initial fuzzy system with t...

The approach of continuous evaluation is an important methodology in educational learning process. However, only recently it was applied in training based on virtual reality. This paper presents a methodology of evaluation that uses a fuzzy continuous evaluation approach to provide a user profile from his several training. This information can be used to improve the user performance in the real...

with conventional expert systems, it is clear that 1) 2) 3) AARS can reduce the size of the rule base; AARS uses linguistic variables rather than quantitative variables; AARS increases the system's flexibility. In future research, we expect to 1) associate observation P,' and rule R , with certainty factors CF, and CF, and derive a certainty factor for consequent experiment with other forms of ...