Fuzzy Systems

Introduction This article is intended for undergraduate or graduate students. In this article, we will explain the overview and outline of fuzzy system. This article describes the contribution of fuzzy systems in the field of artificial intelligence and examples of fuzzy systems used today. Abstract; The concept and implementation of fuzzy systems are part of the natural evolutionary process of human evolution, human beings are a part of society, and in this society the acquisition of information is sufficient, but the effective use of large amounts of information is powerful is there

IEEE fuzzy on fuzzy systems is a scientific journal that is peer-reviewed every other month, published by the IEEE Institute of Computational Intelligence. It covers the theory, design, or application of fuzzy systems from hardware to software, including important technical achievements, exploratory development or performance studies of field systems based on fuzzy models. ** Journal does not offer you a LaTeX template. The journal does not provide you an MS Word template. You must follow the author's guide to format the document. You can also format it as a journal guide by writing a document in Typeset.io and clicking it and downloading the LaTeX version.

Fuzzy reasoning systems have been successfully applied in the fields of data classification, decision analysis, automatic control and computer vision. Since fuzzy is interdisciplinary, it can be used in fuzzy inference systems such as fuzzy rule based systems, fuzzy associative memories, fuzzy expert systems, fuzzy modeling and fuzzy logic controllers, and simple fuzzy systems. Mamdani's fuzzy reasoning method is the most commonly used fuzzy method. Mamdani's method is the first control system designed using fuzzy set theory. The first suggestion by Ebrahim Mamdani in 1975 is to control the combination of steam engine and boiler through comprehensive language control rules obtained from experienced operators. Mamdani's model is based on Lotfi Sade 's 1973 fuzzy algorithm or complex system and decision - making process.

Fuzzy logic can also be applied to non-engineering applications, as shown in stock trading applications. It is also used for medical diagnostic systems and handwritten character recognition applications. Indeed, fuzzy logic systems can be applied to almost any system with inputs and outputs. Binary logic is 1 or 0. Fuzzy logic is a continuous value from 0 to 1. It can also be considered 0% to 100%. An example is the variable YOUNG. We can say that we are 5 years old, young at 100 years old, 50 years younger at 18 years old and 0% younger at 30 years old. In the double world, everyone under the age of 18 is 100% young. And they are all 0% young.