A fuzzy microcontroller is presented implementing a simplified inference mechanism. Fuzzification, rule composition and defuzzification are carried out by means of (basically) analog current-mode CMOS circuits operating in strong inversion. Also a voltage interface is provided with the external world. Combining analog and digital techniques allow a programming capability.

1 INTRODUCTION The use of fuzzy signal controllers has been proven to be quite effective. Their performance in comparison with traditional pretimed or vehicle-actuated control modes has been assessed by different authors (Niittymäki and Nevala, 2001). In all cases, the fuzzy logic controllers provide better traffic operation according to the usually adopted measures of traffic performance such ...

The social demand not only to educate, but also to classify students according to their qualifications, makes the student assessment one of the most important components of the educational process. Fuzzy logic, due to its nature of characterizing a case with multiple values, offers rich resources for the ssessment purposes. This gave us several times in past the impulse to apply principles of f...

Computing the centroid of a type-2 fuzzy set (T2 FS) is an important operation for such sets. For an interval T2 FS, the centroid can be computed by using two iterative procedures that were developed by Karnik and Mendel [2]. In this paper, we prove that if the footprint of uncertainty for an interval T2 FS is symmetrical about the primary variable y at y = m , then the centroid is also symmetr...

Both seasonal demand r and total demand R in the production inventory model are difficult to estimate precisely to actual r0 and R0 values, respectively. Hence, we will set the membership grade at r0 and R0 in an interval [λ, 1], 0 < λ < 1, and then, obtain the interval-valued fuzzy sets r̃ and R̃, respectively. For each production quantity period q, we can obtain the fuzzy total cost Gq ( r̃, R̃ )...

In this paper, an intuitionistic fuzzy matrix game has been considered and its solution method has been proposed using defuzzification method. Score functions have been defined to construct the problem and numerical example has been given in support of the solution method.

The Greenfield-Chiclana Collapsing Defuzzifier comes in many variants, depending on the order of slice collapse. The accuracy of the fundamental variants of forward, backward, inward and outward, and the composite variants of forward-backward and outward right-left is compared experimentally for the discretised interval type-2 fuzzy set. Keywords— Centroid, Collapsing, Defuzzification, Interval...

This paper outlines the proposal for the design of an intelligent electronic thermostat that achieves control by means of fuzzy logic, with the view of bringing about greater comfort by imitating human reasoning, and more efficient utilization of power. A cheap low cost microcontroller would be used for the implementation of this design. Ambient conditions that influence the perception of tempe...

In this paper, the theoretical foundations of generalised fuzzy Bayesian Network based on Vectorial Centroid defuzzification is introduced. The extension of Bayesian Network takes a broad view by examples labelled by a fuzzy set of attributes, instead of a classical set. Combining fuzzy set theory and Bayesian Network’s knowledge allows the use of fuzzy variables or attributes that widely used ...

The concept of (fuzzy) probability density function of fuzzy random variable is proposed in this paper. Due to the "resolution identity", we can construct a closed fuzzy number from a family of closed intervals. Using the same technique, we can construct the (fuzzy) probability density function of fuzzy random variable from the known probability density function. The basic idea of the new metho...