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Introduction to Fuzzy Logic aims at sharing information and experiences in the world of Fuzzy Logic and about its various useful applications. The Fuzzy Logic (FL) concept is the brainchild of Lofti Zadeh, a professor at the University of California, Berkley. Through this concept is a control methodology , he presented Fuzzy Logic as a way to process data by allowing partial set membership instead of crisp set membership or non membership. This approach was not used in controlling systems till 1970, as the computers at that time were of less capability. This set theory approach advocated by the Professor was to tell the world that while people are highly capable of adaptive control, there are no requirements of precise and numerical input to*…show more content…*

A fuzzy Logic system is an alternative to the traditional notions of set membership and logic, which has its origins from the philosophy of ancient Greeks. While success in large part, in respect of the ‘precision of mathematics’, is credited to the efforts put in by Aristotle and his earlier predecessors, in devising a concise theory of Logic and later mathematics. Among the philosophers that followed it could be said that Pluto laid the foundation that would become Fuzzy Logic, to indicate a third region between YES and NO. After intervention of many modern philosophers, Fuzzy Logic has emerged as a profitable tool for controlling and steering the systems of a complex industrial process that could also be used for household and entertainment electronics. Fuzzy Logic system is capable of providing a simple but a sure way to arrive at a definite conclusion based upon ambiguous, vague, noisy, imprecise or missing input information. Its approach to control problems is a replica of a person’s decision making process, but in a much faster*…show more content…*

In the process defining the rule base quickly gets complex in case a choice is made to have too many inputs and outputs for a single implementation. To avoid such a situation, it is better to break the control system into smaller chunks and used several smaller FL controllers with limited responsibilities on the system. Fuzzy Logic can control nonlinear systems wherever it is impossible to model a system arithmetically. This helps to have control systems that are normally considered unfeasible for automation. Areas of Application of Fuzzy Logic Fuzzy Logic system is applied in the key application areas of automotive systems such as Automatic Gear boxes, four wheel steering and Vehicle environment control. In the consumer electronics segment, it is used in Hi-Fi system, photocopiers, video and still cameras and Television. Domestic goods segment also used FL in Micro Ovens, Refrigerators, Vacuum cleaners and washing machines. Air conditioners/ Dryers/ Heaters and Humidifiers are also equipped with Fuzzy Logic system. Advantages of Fuzzy Logic System Within Fuzzy reasoning, mathematics concepts are simpler. All the imprecise, noisy and distorted input information can be taken by

A fuzzy Logic system is an alternative to the traditional notions of set membership and logic, which has its origins from the philosophy of ancient Greeks. While success in large part, in respect of the ‘precision of mathematics’, is credited to the efforts put in by Aristotle and his earlier predecessors, in devising a concise theory of Logic and later mathematics. Among the philosophers that followed it could be said that Pluto laid the foundation that would become Fuzzy Logic, to indicate a third region between YES and NO. After intervention of many modern philosophers, Fuzzy Logic has emerged as a profitable tool for controlling and steering the systems of a complex industrial process that could also be used for household and entertainment electronics. Fuzzy Logic system is capable of providing a simple but a sure way to arrive at a definite conclusion based upon ambiguous, vague, noisy, imprecise or missing input information. Its approach to control problems is a replica of a person’s decision making process, but in a much faster

In the process defining the rule base quickly gets complex in case a choice is made to have too many inputs and outputs for a single implementation. To avoid such a situation, it is better to break the control system into smaller chunks and used several smaller FL controllers with limited responsibilities on the system. Fuzzy Logic can control nonlinear systems wherever it is impossible to model a system arithmetically. This helps to have control systems that are normally considered unfeasible for automation. Areas of Application of Fuzzy Logic Fuzzy Logic system is applied in the key application areas of automotive systems such as Automatic Gear boxes, four wheel steering and Vehicle environment control. In the consumer electronics segment, it is used in Hi-Fi system, photocopiers, video and still cameras and Television. Domestic goods segment also used FL in Micro Ovens, Refrigerators, Vacuum cleaners and washing machines. Air conditioners/ Dryers/ Heaters and Humidifiers are also equipped with Fuzzy Logic system. Advantages of Fuzzy Logic System Within Fuzzy reasoning, mathematics concepts are simpler. All the imprecise, noisy and distorted input information can be taken by

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## Introduction Of Fuzzy Logic

1874 Words | 8 Pagestrue or false values, but humans can interpret the degrees of truth and degrees of false. So, Fuzzy systems were developed so that they can interpret these human actions and are also called as intelligent systems. A fuzzy system was first introduced by an American professor Lofti. A. Zadeh in 1965 by presenting a paper on fuzzy set theory in a seminar. Zadeh showed that the fuzzy logic unlike classical logic can realize values between false (0) and true (1). Basically, he transformed the crisp set into

## What Are The Advantages And Disadvantages Of Fuzzy Technology

1485 Words | 6 PagesAPPLICATION IN FUZZY LOGIC TECHNOLOGY Abstract. Fuzzy Logic has played a crucial part in this age of rapid technological development. The use of fuzzy controller has the advantage of managing time, increasing equipment efficiency and diagnosing malfunctions. In this paper, the objective is to present the idea of controlling the main parameter of water heater to sustain the water temperature which was input by the user. The process is to focus on the theory of taking non taking non-precise inputs

## Angular Distortion In Fuzzy Logic

1487 Words | 6 Pagesthe angular distortion are studied. The Fuzzy Logic is used for the prediction of angular distortion with the multipass Gas Metal Arc Welding

## Fuzzy Logic Advantages And Disadvantages

969 Words | 4 Pagesbenefits of fuzzy logic lie in its ability to handle linguistic information by representing it as a fuzzy set. Fuzzy logic simultaneously tests this information against a variety of linguistic rules and makes a compromise decision . For eg. A police officer controlling traffic at an intersection may outperform advanced intersection controllers even though he does not exactly know how many vehicles have been waiting for how long,or what the exact magnitude of the capacity of the intersections is.

## Fuzzy Logic: The Importance Of Fuzzy Logic

1257 Words | 6 PagesIntroduction Fuzzy logic is an old concept that was first introduced by Lotfi Zadeh in 1965. Fuzzy logic kept on developing until the year 1987 to this day this period is known as Fuzzy Boom period, and it will probably keep on evolving. People continually change their perception about the world. Therefore, ambiguity and uncertainty must exist in almost every real life problem, and fuzzy logic can deal with this uncertainty because "fuzzy logic starts with and builds on a set of user-supplied human

## Abstract On Water Level Control

1017 Words | 5 Pagesto design and simulate the water level controller using Fuzzy Logic in MATLAB. In our project, Fuzzy logic controller is based on MAMDANI type inference system and the design was implemented using Fuzzy logic toolbox and Simulink. Fuzzy logic controller has two inputs i.e. level and rate of change of error and one output i.e. valve position. During analysis, the controller was simulated using rules specified in the rule editor of Fuzzy logic toolbox. This method is used analyse the behaviour of the

## Fuzzy Logic Theory

2584 Words | 11 PagesCHAPTER 3 TWO LEVEL FUZZY LOGIC BASED INTRUSION DETECTION SYSTEM (TLFL IDS) FOR BLACKHOLE ATTACKS IN WIRELESS AD HOC NETWORKS 3.1 FUZZY LOGIC 3.1.1 INTRODUCTION TO FUZZY LOGIC A fuzzy logic system (FLS) can be defined as the nonlinear mapping of an input data set to a scalar output data .A FLS consists of four main parts namely fuzzifier, rules, inference engine and defuzzifier. The fuzzy logic process has been explained by the following steps. Initially, a crisp set of input data have been converted

## Fuzzy Expert System Analysis

2104 Words | 9 PagesAnalysis of Fuzzy Expert Systems to learn the techniques of dealing with fuzzy variables Shaily Thaker Faculty of Computer Applications GLSICA-GLS University Ahmedabad, India shaily.gls@gmail.com Dr. Viral Nagori Faculty of Computer Technology GLSICT-GLS University Ahmedabad, India viral011@yahoo.com Abstract—Expert System works like a human expert in all aspects. It has ability to reproduce the rational and reasoning capacity of human beings based on rules and facts provided to it as inputs

## History Of Fuzzy Logic

5952 Words | 24 PagesFUZZY LOGIC In recent years, the number and variety of applications of fuzzy logic have increased significantly. The applications range from consumer products such as cameras, camcorders, washing machines, and microwave ovens to industrial process control, medical instrumentation, decision-support systems, and portfolio selection. To understand why use of fuzzy logic has grown, you must first understand what is meant by fuzzy logic. Fuzzy logic has two different meanings. In a narrow sense, fuzzy

## Water Level Control Analysis

1516 Words | 7 Pagesto design and simulate the water level controller using Fuzzy Logic in MATLAB. In our project, Fuzzy logic controller is based on MAMDANI type inference system and the design was implemented using Fuzzy logic toolbox and Simulink. Fuzzy logic controller has two inputs i.e. level and rate of change of error and one output i.e. valve position. During analysis, the controller was simulated using rules specified in the rule editor of Fuzzy logic toolbox. This method is used analyse the behaviour of the

### Introduction Of Fuzzy Logic

1874 Words | 8 Pages### What Are The Advantages And Disadvantages Of Fuzzy Technology

1485 Words | 6 Pages### Angular Distortion In Fuzzy Logic

1487 Words | 6 Pages### Fuzzy Logic Advantages And Disadvantages

969 Words | 4 Pages### Fuzzy Logic: The Importance Of Fuzzy Logic

1257 Words | 6 Pages### Abstract On Water Level Control

1017 Words | 5 Pages### Fuzzy Logic Theory

2584 Words | 11 Pages### Fuzzy Expert System Analysis

2104 Words | 9 Pages### History Of Fuzzy Logic

5952 Words | 24 Pages### Water Level Control Analysis

1516 Words | 7 Pages