This paper deals with the simplest fuzzy PID controllers which employ two fuzzy sets for each of the three input variables and four fuzzy sets for the output variable. Mathematical model for a fuzzy PID controller is derived by using asymmetric Γ-function type and L-function type membership functions for each input, asymmetric trapezoidal membership functions for output, algebraic product trian...

In this paper, analytical structures of TITO (two-input two-output) Mamdani fuzzy PI/PD controllers are investigated with respect to conventional PI/PD control and variable gain control. Components of the fuzzy controllers include two input fuzzy sets for each input variable, five singleton output fuzzy sets for each output variable, 16 fuzzy rules, product AND fuzzy logic operator, the Mamdani...

In this paper, we present a novel technique to analysis fingerprint image quality using fuzzy logic. The quality of fingerprint image greatly affects the performance of minutiae extraction and the process of matching in fingerprint identification system. The system uses the extracted four features from a fingerprint image which are the Local Clarity Score (LCS), Global Clarity Score (GCS), Ridg...

An increasing number of applications require the integration of data from various disciplines, which leads to problems with the fusion of multi-source information. In this paper, a special information structure formalized in terms of three indices (the central presentation, population or scale, and density function) is proposed. Single and mixed Gaussian models are used for single source inform...

As we all know, the parameter optimization of Mamdani model has a defect of easily falling into local optimum. To solve this problem, we propose a new algorithm by constructing Mamdani Fuzzy neural networks. This new scheme uses fuzzy clustering based on particle swarm optimization (PSO) algorithm to determine initial parameter of Mamdani Fuzzy neural networks. Then it adopts PSO algorithm to o...

This paper presents an implementation algorithm for Intelligent Changeover Fuzzy Logic Switching System (ICOFLS) for domestic load management. The algorithm achieves high quality regulation through utilization of fuzzy logic controller in self-managing the three entities viz: Phase lines, Generator system and Inverter system. The MATLAB Simulink fuzzy logic blockset was used in this research fo...

Air conditioning system is developed using mamdani fuzzy model and neuro fuzzy model. It is two input one output system where inputs being the temperature and humidity measured from their respective sensors and the output being the signal that controls the compressor speed. Both the models are simulated using MATLAB Fuzzy logic Toolbox and their results are compared. Keywords— air conditioning,...

The heart is the most important member of the human body. Its task is giving blood to all the members. Disruption in the work of the member makes up compromised the human health. Many factors affect the proper functioning of this organ. In this article we're going to design a system that will help to doctors in diagnosing heart disease. The rules of this system is extracted by consultation with...

Load sensor is developed using mamdani type fuzzy model. It is two input one output model. Inputs taken for the load sensor are load and displacement and voltage is taken as output. The model is simulated using MATLAB Fuzzy Logic Toolbox and simulation results are shown in this paper. Index Terms —Fiber Bragg Grating sensor, Fuzzy logic, Load sensor, Mamdani, Windmill blades.

In this paper, we derive new neuro-fuzzy structures called flexible neuro-fuzzy inference systems or FLEXNFIS. Based on the input-output data, we learn not only the parameters of the membership functions but also the type of the systems (Mamdani or logical). Moreover, we introduce: 1) softness to fuzzy implication operators, to aggregation of rules and to connectives of antecedents; 2) certaint...