Fuzzy Logic
Philosophical approach
Decisions based on degree of truth
Is not a method for reasoning under uncertainty that probability
Crisp Facts distinct boundaries
Fuzzy Facts imprecise boundaries
Probability - incomplete facts
Example €œ Scout reporting an enemy
Two tanks at grid NV 54 (Crisp)
A few tanks at grid NV 54 (Fuzzy)
There might be 2 tanks at grid NV 54 (Probabilistic)
Apply to Computer Games
Can have different characteristics of players
Strength: strong, medium, weak
Aggressiveness: meek, ....etc

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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

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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

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ABSTRACT
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated Western and Eastern medicine, the optimal selection of medical treatments integrating Western and Eastern medicine, and for real-time monitoring of patient data. This was verified by trials with the following systems t ....etc

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FUZZY LOGIC IN EMBEDDED SYSTEMS

Presented By:
AJAY KUMAR.P J. CHANDRASEKHAR
ECE DEPARTMENT ECE DEPARTMENT
ANITS ANITS




ABSTRACT:

A digitally - programmable analogue Fuzzy Logic Controller (FLC) is presented. Input and output signals are processed in the analog domain whereas the parame ....etc

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With the advent of modern computer technology, the field of Artificial Intelligence is showing a definite utility in all spectrum of life. In the field of control, there is always a need for optimality with improved controller performance. In this paper, the feasibility of Fuzzy Logic as an effective control tool for DC motors is dealt with.

This Fuzzy Logic Controller (FLC) is showing a better performance than conventional controllers in the form of increased robustness.

In this paper, the role of Fuzzy Logic as a controller and its imp ....etc

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Details about the working of automatic air conditioner control using fuzzy logic ....etc

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Introduction
Many decision-making and problem-solving tasks are too complex to be understood quantitatively, however, people succeed by using knowledge that is imprecise rather than precise. Fuzzy set theory, originally introduced by Lotfi Zadeh in the 1960's, resembles human reasoning in its use of approximate information and uncertainty to generate decisions. It was specifically designed to mathematically represent uncertainty and vagueness and provide formalized tools for dealing with the imprecision intrinsic to many p ....etc

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FUZZY LOGIC IN EMBEDDED SYSTEMS
ABSTRACT:
A digitally - programmable analogue Fuzzy Logic Controller (FLC) is presented. Input and output signals are processed in the analog domain whereas the parameters of the controller are stored in a built-in digital memory. Some new functional blocks have been designed whereas others were improved towards the optimization of the power consumption, the speed and the
modularity while keeping a reasonable accuracy, as it is needed in several analogue signal processing applications. ....etc

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Abstract”

Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. Various speed control techniques like, Direct Torque Control, Sensorless Vector Control and Field Oriented Control are discussed in this paper. Soft computing technique “ Fuzzy logic is applied in this paper for the speed control of induction motor to achieve maximum torque with minimum loss. The fuzzy logic controller i ....etc

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