In this research, a system for diagnosing disease was designed and implemented. This will be used paramedics expert. They need to enter many symptoms. The symptoms are classified into two categories, crisps fuzzy. fuzzy input using slider. It is uncertainty Building system, needs three steps knowledge acquisition, representation then building base, finally inference engine. uses standard class ...

In this Chapter, the steps necessary to develop a fuzzy expert system (FES) from the initial model design through to final system evaluation will be presented. The current state-of-the-art of fuzzy modelling can be summed up informally as 'anything goes'. What this actually means is that the developer of the fuzzy model is faced with many steps in the process each with many options from which s...

The objective of this study is to design a fuzzy expert system for performance assessment of health, safety, environment (HSE) and ergonomics system factors in a gas refinery. This will lead to a robust control system for continuous assessment and improvement of HSE and ergonomics performance. The importance of this study stems from the current lack of formal integrated methodologies for interp...

The mental illness diagnostic expert system is designed to help or assist the psychology doctors to diagnosing the various mental disorders related to human. This expert system can be used to perform some evaluation of patient’s physical and emotional symptoms to diagnose the particular disorder. This expert system handles the various types of pathologies that more often appear as Anxiety disor...

This research develops a fuzzy logic-based expert system that models the three main dimensions of sustainable development (SD) (social, economic and environmental) in relation to local areas. We ap...

Human-based quality control reduces the accuracy of this process. Also, the speed of decision making in some industries is very important. For removing these limitations in human-based quality control, in this paper, the design of an expert system for automatic and intelligent quality control is investigated. In fact, using an intelligent system, the accuracy in quality control is increased. It...

Expert systems are computer programs that emulate the reasoning process of a human expert or perform in an expert manner in a domain for which no human expert exists. They typically reason with uncertain and imprecise information. In this paper, we present a fuzzy expert system for a airplane navigation fault diagnosis system making the use of fuzzy set theory to deal with uncertainty. The faul...