Enhan ement of Mamdani Fuzzy

Reliability Enhan ement of Analog - to - Digital Converters ( ADCs )

The E e t of Pla ement on Yield for Standard Cell Designs

The ability to improve the yield of integrated ir uits through layout modi ation has been re ognized and several te hniques for yield enhan ed routing and ompa tion have been developed. Yield improvement during routing is however, limited by the predetermined pla ement. It is on eivable therefore, that di erent pla ements of the modules (e.g., standard or ustom ells) may lead to very di erent y...

Learning to Notice: Adaptive Models of Human Operators

ABSTRACT Agent-based te hnologies have been used for a number of years to model human operators in omplex simulated environments. The BDI agent framework has proven to be parti ularly suited to this sort of modelling, due to its \natural" omposition of beliefs, goals and plans. However one of the weaknesses of the BDI agent model, and many other human operator models (agent-based or otherwise),...

Comparison of Constant SUGENO-Type and MAMDANI-Type Fuzzy Inference System for Load Sensor

Load sensor is developed using mamdani fuzzy inference system and sugeno fuzzy inference system. It is two input and one output sensor. Both mamdani-type fuzzy inference system and sugeno-type fuzzy inference system are simulated using MATLAB fuzzy logic toolbox. This paper outlines the basic difference between these two fuzzy inference system and their simulated results are compared. Index Ter...

The Application of Mamdani Fuzzy Model for Auto Zoom Function of a Digital Camera

Mamdani Fuzzy Model is an important technique in Computational Intelligence (CI) study. This paper presents an implementation of a supervised learning method based on membership function training in the context of Mamdani fuzzy models. Specifically, auto zoom function of a digital camera is modelled using Mamdani technique. The performance of control method is verified through a series of simul...