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...

In this paper, an interval Type-2 fuzzy logic based pitch angle controller is proposed for fixed speed wind energy system (WES) to maintain the aerodynamic power at its rated value. The pitch angle reference is generated by the proposed controller which can compensate the non-linear characteristics of the pitch angle to the wind speed. The presence of third dimension in the Type-2 fuzzy logic c...

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...

In this paper, a modified fuzzy system modelling algorithm that incorporates Type 2 fuzzy sets, which is based on intervalvalued membership degrees rather than singleton membership degrees, is proposed. The proposed algorithm is evaluated in terms of predictive performance and determination of the significance degrees and compared with other algorithms in the literature, namely Stepwise Multipl...

chaotic systems are nonlinear dynamic systems, the main feature of which is high sensitivity to initial conditions. to initiate a design process in fuzzy model, chaotic systems must first be represented by t-s fuzzy models. in this paper, a new fuzzy modeling method based on sector nonlinearity approach has been recommended for chaotic systems relating to initial condition variations using the ...