Fuzzy Logic and Fuzzy Sets 


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

[:=Read Full Message Here=:]

Introduction
Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the human. ....etc

[:=Read Full Message Here=:]

ABSTRACT
Fuzzy logic, a relatively new cutting edge technology, is nowadays gaining popularity. Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing no-linear controllers via the use of heuristic information. Such heuristic information may come from an operator who has acted as a human in the loop controller for a process. A fuzzy controller emulates human decision-making process. Fuzzy control provides a user-friendly formalism for ....etc

[:=Read Full Message Here=:]

Abstract”
Computer supported collaborative applications on overlay networks are gaining popularity among users who are geographically dispersed. Examples of these kinds of applications include video-conferencing, distributed database replication, and online games. This type of application requires a multicasting subnetwork, using which messages should arrive at the destinations within a specified delay bound. These applications also require that destinations receive the message from the source at approximately the same time. The problem ....etc

[:=Read Full Message Here=:]

Today, home appliance applications require more and more features such as motor speed adaptations to multipurpose accessories, user-friendly interfaces, and security features. Such new requirements can be achieved through a low-end microcontroller-based electronic control using the fuzzy logic approach. Now a days, most of fuzzy logic-based controls are only limited to a complicated ranking management of user interfaces, sensors, and actuators, corresponding to slow software speed operation. This paper proposes a totally different use of fuzzy ....etc

[:=Read Full Message Here=:]

Introduction

Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the huma ....etc

[:=Read Full Message Here=:]

Multicast Routing with Delay and Delay Variation Constraints for Collaborative Applications on Overlay Networks

Maximum variation in the delays from a source to the destinations. The time-complexity of our Algorithm is O (|E| +nk log (|E|/n) +m2 k), where n and |E| are the number of nodes and edges in the network, respectively, k is the Number of shortest paths determined, and Abstract”Computer supported collaborative applications on overlay networks are gaining popularity among users who are geographically dispers ....etc

[:=Read Full Message Here=:]

PH Control Technique using Fuzzy Logic

Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a f ....etc

[:=Read Full Message Here=:]

Abstract
One of the major factors which contribute to thepower consumption in CMOS combinational logic circuits is theswitching activities in the circuits. Many of such switching activitiesare due to spurious pulses, called glitches. Recently, a newmodel of glitch analysis, called G-vector has been proposed.The power of the model is that, unlike the existing ones whichmodel only the propagation of glitches to count the number ofglitches in the circuits, it allows to model the generation, propagationand elimination of glitches to be ....etc

[:=Read Full Message Here=:]

FUZZY LOGIC IN CONTROL DESIGN ANTI-LOCK BRAKE SYSTEM

ABSTRACT:
In recent years fuzzy logic control techniques have been applied to a wide range of systems. Many electronic control systems in the automotive industry such as automatic transmissions, engine control and Anti-lock Brake Systems (ABS) realize superior characteristics through the use of fuzzy logic based control rather than traditional control algorithms. ABS is implemented in automobiles to ensure optimal vehicle control and minimal stopping distances durin ....etc

[:=Read Full Message Here=:]