Abstract: This paper presents the design methods for the designing and simulation of implication function (mamdani) using two stage CMOS operational amplifier in SPICE. This paper also presents how the first three steps of fuzzy system i.e. fuzzification, rule composition and implication process are merged and get the output for each rule. I have also calculated the electrical parameters like s...

Two fuzzy models for real estate appraisal, i.e. Mamdani-type and Takagi-Sugeno-Kang-type have been built with the aid of experts. Both models comprised 7 input variables referring to main attributes of a property being appraised. In order to determine the rule bases for both models an evolutionary algorithm has been applied. The experiments conducted using MATLAB software revealed that models ...

In this paper, we present Fuzzy Neural Network (FNN) structure and the back-propagation process, which tunes the weighting factors of FNN such that its output can follow the desired signal. Then they are applied to design an FNN controller to let the pole of an inverted pendulum be as vertical as possible. Simulation results show that the proposed approach produces better responses than the fuz...

This paper aims 3-dof scara type robot manipulator using dynamic modeling. In this paper presents dynamic modeling of robot manipulator based on Lagrange Euler formulation using Mamdani based Fuzzy controller. The aim of designing fuzzy controller is to overcome the drawbacks of conventional PID controller because robot manipulators are nonlinear model so conventional PID controller cannot give...

In this paper experiments are described with three linguistic fuzzy models sharing the same monotone rule base and the same membership functions for the two input variables, but applying different membership functions in the output domain. We investigated which inference methods result in a monotonic input-output behaviour. Apart from the conventional Mamdani–Assilian inference method with Cent...

The objective of our study is to design fuzzy expert system to diagnose the jaundice. To diagnose the jaundice both Mamdani and Sugeno fuzzy expert system is used. The symptoms of the jaundice are fed as inputs of fuzzy inference system and the outputs, i.e. grade of disease, is obtained. The grade is obtained using the fuzzy tool in MATLAB R2007a software. Ten patients of different ages and ge...

Adequacy of water supply plays a vital role in maintaining lawn health. Water need to be dispersed intelligently to provide a sufficient amount of moisture to the soil. Conventional system was investigated and it is found that the system used excessive amount of water and the amount dispersed may not be suitable for the moisture level of the lawn since it does not consider soil moisture based o...

This paper deals with numerical functions able to functionally express operators defined as , and verifying either Modus Ponens or Modus Tollens, or both. The concrete goal of the paper is to search for continuous t-norms and strong-negation functions for which it is either (Modus Ponens), or (Modus Tollens), or both, for all in and a given . Functions are taken among those in the most usual fa...

This work outlines a new approach for online learning from imprecise data, namely, fuzzy set based evolving modeling (FBeM) approach. FBeM is an adaptive modeling framework that uses fuzzy granular objects to enclose uncertainty in the data. The FBeM algorithm is data flow driven and supports learning on an instance-per-instance recursive basis by developing and refining fuzzy models on-demand....

The aim of this study is to compare different approaches to fuzzy systems design from different perspectives: knowledge-driven versus data-driven and rule-based (flat) versus tree-based (hierarchical). More specifically, our comparison is focused on two of the arguably most important criteria in fuzzy systems design, namely accuracy and interpretability. We compare two approaches to data-driven...