Fuzzy Systems Essay - 2607 Words

Preface This article is written for an intended audience of undergraduate or graduate students, this article provides an introduction to, and an overview of what fuzzy systems are. Presented in this article is an acknowledgment of the contributions that fuzzy systems are making to the Artificial Intelligence discipline, as well as examples of fuzzy systems which are in use today. Abstract The concept and implementation of fuzzy systems is part of the natural course of evolution for humans who are a part of a society where access to information is plentiful but efficient utilization of massive amounts of information is power. To get at the information, we need systems which can understand what we need, rather than for us to understand†¦show more content†¦The origin of fuzzy systems can be traced to the first introduction of formal logic by Aristotle. Logic introduced by Aristotle was considered to be bilevel logic of either true or false, and is acknowledged to be the foundation of most of the growth of the sciences which are known today.[1] However, it was Plato who is accredited with laying the actual foundations for fuzzy logic when he proposed that there exists a third area beyond true and false where things were not always true or always false.[3] Digital computers in use today are based upon the ideas of Aristotle, where a single bit of information found in a computer is considered either true or false, that the transistor gate is either turned on or off. Many fundamental aspects of society today are based upon concepts of right or wrong, innocent or guilty, a member of a group or not a member of some group. The human race has toyed with and enjoyed the concept of a perfect society, where everything was easily classified into good or bad, right or wrong, true or false and has created computers to respond to that type of idealistic and simplistic world. This philosophy has served the human race well as computers were created to operate in very predictable ways that wereShow MoreRelatedFuzzy Vs. Fuzzy Inference System1305 Words   |  6 PagesFuzzy Inference System Approach to Restoration Path Optimization in Power Transmission Lines Ye Htut Khaing#1, Okkar Soe*2 # Electrical Power Engineering Department, Yangon Technological University, East Gyogone, Insein Township,Yangon, Myanmar Tel;95-1-966 3249 Fax;95-1-966 3291 1uyehtutkhaing.moep.phd@gmail.com 2okkarsoe07@gmail.com Abstract -Power systems have increased in size and complexity and national society depends heavily upon a high level of power system reliability. When the bulk transmissionRead MoreFuzzy Based Automated System For Predicting Viral Infections1505 Words   |  7 PagesFuzzy based Automated System for Predicting Viral Infections(Chicken Pox, Swine Flu and Dengue) Ravinkal Kaur Dept. of computer science and engineering CTITR Jalandhar, India ravinkal93@gmail.com Sarabjit Kaur Assistant Professor Dept. of computer science and engineering CTITR Jalandhar, India er_sarabjitkaur35@rediffmail.com Virat Rehani Assistant Professor Dept. of computer applications CTIMIT Jalandhar, India vrehani@yahoo.com Abstract— Health protection is the improvement of healthRead MoreApplication Of Fuzzy Rule Based System4082 Words   |  17 PagesAPPLICATION OF FUZZY RULE BASED SYSTEM IN LEAN CONSTRUCTION IN HIGHWAY PROJECTS: A CASE STUDY IN INDIA DIVYARAJ. B. JADEJA1, ASHU S. KEDIA2, NAIMISH BHATT3, DEBASIS SARKAR4 1P.G. Student, Department of Civil Engineering, Pandit Deendayal Petroleum University, Raisan, Gandhinagar, 382001- India 2,3Lecturer, Department of Civil Engineering, Pandit Deendayal Petroleum University, Raisan, Gandhinagar, 382001- India 4Associate Professor, Department of Civil Engineering, Pandit Deendayal Petroleum UniversityRead MoreFuzzy Logic Essay1475 Words   |  6 PagesFuzzy Logic Fuzzy Logic is a term used to identify a new trend of quantifying partial truths. One disadvantage of most rule sets that they cannot process inconsistent data. Fuzzy logic is a superset of conventional logic that has been extended to handle the concept of partial truth, being values that lie between completely true and completely untrue. Dr. Lotfi Zadeth of UC/Berkley first introduced it in the 1960s as a means of modeling the uncertainty of natural language. 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