PPT-Fuzzy set theory

Abby yinger Definitions Set any well defined collection of objects An object in a set is called an element or member of that set Crisp Sets these are sets that only have values of 0 False and 1 True. The process co nsidered for this experiment shows highly nonlinear behavior due to equal percentage pneumatic control valve NATIONAL INSTRUMENTS based hardware and software tools LabVIEW were used for precise and accurate acquisition measurement and Allow for fractions partial data imprecise data Fuzzify the data you have How red is this 1 RGB value 150255 What Is a Fuzzy Controller What Is a Fuzzy Controller Simply put it is fuzzy code designed to control something usually mechanical They ca Pushpak Bhattacharyya. CSE Dept., . IIT Bombay . Lecture–4: Fuzzy . Inferencing. 29. th. July 2010. Meaning of fuzzy subset. Suppose, following classical set theory we say. if . Consider the n-hyperspace representation of A and B. Garg. Assistant Professor, . School of Mathematics & Computer Applications, . Thapar. University Patiala, Punjab, India. . Email: harishg58iitr@gmail.com . URL: https://sites.google.com/site/harishg58iitr/ . Pushpak Bhattacharyya. CSE Dept., . IIT Bombay . Lecture–3: Some proofs in Fuzzy Sets . and Fuzzy Logic. 27. th. July 2010. Theory . of Fuzzy Sets. Given . any set ‘S’ and an element ‘e’, there is a very natural predicate, . Lecture . 2 Fuzzy Set. Basil Hamed. Electrical Engineering . Islamic University of Gaza. Content. Crisp Sets. Fuzzy Sets. Set-Theoretic . Operations. Extension Principle. Fuzzy . Relations. Dr Basil Hamed. Intelligence. Content. Fuzzy . Expert System. Introduction: Fuzzy Expert System. An expert might say, “ Though the power transformer is . slightly. overloaded, I can keep this load for . a . while”.. Lecture 1 Introduction. Basil Hamed. Electrical . Engineering . Islamic University of Gaza. Outline. Introduction, Definitions and . Concepts. Control. Intelligent . Control. History of Fuzzy . Logic. Chapter 12. M. Tim . Jones. See also . http. ://en.wikipedia.org/wiki/Fuzzy_logic. Fuzzy Sets. . Rules of thumb frequently stated in “fuzzy” linguistic terms.. John is . tall. .. If . someone is . Pure fuzzy system. TSK fuzzy systems. Fuzzy system with fuzzier and . defuzzier. Fuzzy system as open-loop controller. Fuzzy system as . closed-loop . controller. Fuzzy washing machine. They were produced by Matsushita Electric Industrial Company in . Supervisor:. Dr.Bagheri. . Shuraki. Presenters:. Maryam. . Fereydoon. , . Sepideh. . Hajipour. 1. Course:. Fuzzy System and Sets. Spring. ,2009. Title:. Integration of Fuzzy Logic and Chaos Theory. Syntax. Using an ARDS detection automaton as a working example. Jeroen S. DE BRUIN. 1,2. ,. . Heinz STELTZER. 3. , . Andrea RAPPELSBERGER. 1. , . and . Klaus-Peter ADLASSNIG. 1,2. 1 . Section for Artificial Intelligence and Decision Support, . Proportional logic dan First-Order Logic digunakan untuk merepresentasikan masalah-masalah yang pasti. Digunakan untuk merepresentasikan masalah yang mengandung ketidakpastian. . Dengan teori fuzzy set, kita dapat merepresentasikan dan menangai masalah ketidakpastian yang dalam hal ini bisa berarti keraguan, ketidaktepatan, kekurangan informasi dan kebenaran. 1. Khurshid Ahmad, . Professor of Computer Science,. Department of Computer Science. Trinity College,. Dublin-2, IRELAND. October . 5th, 2011.. https. ://. www.cs.tcd.ie/Khurshid.Ahmad/Teaching/Teaching.html.