PPT-FUZZY SYSTEMS REASONING Pendahuluan

Proportional logic dan FirstOrder Logic digunakan untuk merepresentasikan masalahmasalah 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. 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 Fuzzy I 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. We have only examined knowledge that is true/false or truth preserving, but the world is full of uncertainty. we need mechanisms to reason with that uncertainty. We find two forms of uncertainty. unsure input. Representations generally treat knowledge as . fact. Knowledge and the use of the knowledge brings with it a degree of uncertainty . how do we represent and reason with uncertainty?. Four forms of uncertainty. Proposition. 2. Logic variable. 3. Basic connectives for logic variables. 4. (1) Negation. (2) Conjunction. 5. (3) Disjunction. (4) Implication. Basic connectives for logic variables. Logical function. 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. Basil Hamed. Electrical Engineering . Islamic University of Gaza. Content. . Membership Function. . Features . of Membership Function. . Fuzzy Membership . Functions. . . Types . of Membership . Basil Hamed. Electrical . Engineering . Islamic University of Gaza. Outline. Introduction, Definitions and . Concepts. Control. Intelligent . Control. History of Fuzzy . Logic. Fuzzy Logic. Fuzzy Control. Computing Generations. 1. st. Generation: 1945-1955. Vacuum tube computers. Used magnetic drums. Almost impossible to program, very slow. 2. nd. Generation: 1955-1965. Programming languages, assembly language. Basil Hamed. Electrical . Engineering . Islamic University of Gaza. Outline. Introduction, Definitions and . Concepts. Control. Intelligent . Control. History of Fuzzy . Logic. Fuzzy Logic. Fuzzy Control. Reasoning with Uncertainty We have only examined knowledge that is true/false or truth preserving, but the world is full of uncertainty we need mechanisms to reason with that uncertainty We find two forms of uncertainty 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.