Professor Ebrahim (Abe) Mamdani died on January 22, 2010. He was born in Tanzania in June 1942 and educated in India, he went to UK in 1966. After obtaining his PhD at Queen Mary College, University of London, he joined its Electrical Engineering Department, where he developed the first fuzzy controller. In the mid-eighties he moved to Imperial College, where he was now an Emeritus Professor. I...

Three-way fuzzy inference is the theoretical basis of three-way control. The proposed TCRI method based on a Mamdani implication operator and uses one simple composition operation. In order to effectively improve method, this paper proposes full triple I algorithm for gives solution TFMP problem. emphasis our research R0 Go¨del solution, which related residual implication, as well Zadeh’s Mamda...

Mamdani Systems are very well known in the area of Fuzzy Control, where they have been, they are, and they will continue to be successfully used. Efforts to linguistically interpret Mamdani Systems as a method for inference in fuzzy logic have faced the difficulty of interpreting the output of such systems before defuzzification, which consists of an aggregation of normally truncated fuzzy sets...

Diabetes is a situation when a body is not capable to produce insulin, which is needed to control glucose. Diabetes will also develop heart disease, kidney disease, blindness, nerve damage, and blood vessel damage. This paper uses Mamdani-type and Sugeno-type fuzzy expert systems for a diabetes diagnosis. Fuzzy expert system is a group of membership functions and rules. Fuzzy expert systems are...

This paper concerns the use of fuzzy structures to model linear dynamic systems. A systematic method is proposed to generate the rules and also select the antecedent and consequent membership functions directly from the mathematical expression. The procedure is applied to the Takagi-Sugeno-Kang fuzzy structures and later adapted to the Mamdani fuzzy structures. It is shown that the Mamdani stru...

Development of Load sensor is done in this paper, the input output of the load sensor is taken from the optical fiber sensor and the inputs are load and displacement and output is voltage. Load sensor is implemented by using two models i.e. mamdani fuzzy model and neuro fuzzy model and both the models are simulated using MATLAB, Fuzzy logic Toolbox and the results of the two models are compared...

This paper presents an algorithm designed to segment veins in the periventricular region of the brain in susceptibility-weighted magnetic resonance images. The proposed algorithm is based on a Mamdani-type fuzzy rule-based system that enables enhancement of veins within periventricular regions of interest as the first step. Segmentation is achieved after determining the cut-off value providing ...

During the past decades, fuzzy logic control (FLC) has been one of the most active and fruitful areas for research in the application of fuzzy set theory. It has has been an active research topic in automation and control theory, since the work of Mamdani proposed in 1974 based on the fuzzy sets theory of Zadeh (1965), to deal with the system control problems which is not easy to be modeled [Ma...

The article describes a decision support system based on fuzzy inference aimed to automate the procedure of choosing model formalizing interaction between actors in virtual communities social networking services and synergistic management such processes. developed aims increase effectiveness counteracting threats information security state services. mathematical apparatus set theory Mamdani alg...