p108_fuzzylogic kiet

p108_fuzzylogic kiet - FuzzyLogic F uzzyLogic AUTOMATION OF...

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Fuzzy Logic Fuzzy Logic AUTOMATION OF UMPIRING IN CRICKET USING FUZZY LOGIC BY BY S.RAJENDRA K.HARIPRASAD III B.TECH COMPUTER SCIENCE AND ENGINEERING @ Sukavasi_007@yahoo.co.in Hari_prasad_kurapati@yahoo.co.in Ph:+919949796959 Department o f computer science and engineering 1
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VR.SIDDHARTHA ENGG COLLEGE VIJAYAWADA AUTOMIZATION OF UMPIRING IN CRICKET USING FUZZY LOGIC ABSTRACT Fuzzy logic has been introduced to deal with vague, imprecise and uncertain problems. A fuzzy logic controller can be regarded as an expert system that is able to process qualitative variables and to infer crisp values out of uncertainty. Hence, fuzzy logic can find applications in many aspects of real life, where there is lack of information, there is uncertainty. A good example of such an application is in AUTOMIZATION OF UMPIRING IN CRICKET Cricket now- a -days has gone beyond the scope of a ‘game’ to be a inherent part of our senses. While millions of money is invested in this sport there exist still some discrepancies that hit heavily on the reverence to the game. Humans are always prone to errors, which hold well even with the umpires. Thus automization of the decisions will help to improve the Essence of the game and ensure an even more cheerful and judicious entertainment. This paper puts forward a proposal, which aims at achieving the following objectives The main objectives we propose to solve are: Unravel the contradiction between a boundary and a six. Identify an LBW. Identify a catch. The tool we have used is “Fuzzy Logic” as it is a good decision maker. 2
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Neural networks can be trained using real time data which makes it highly efficient in operation. Contents Contents     Inside…………. Inside…………. INTRODUCTION o FUZZY LOGIC COMPONENTS OF FUZZY LOGIC DECISION-MAKING SYSTEM AUTOMIZATION OF UMPIRING IN CRICKET o WHY USE “FUZZY LOGIC” AS A TOOL? o FUZZIFICATION o FIELD SETUP o PARAMETERS INVOLVED o MEMBERSHIP FUNCTIONS SOFTWARE DEVELOPED FOR THE SYSTEM o RULE VIEWER o MODEL OUTPUTS THE END (TO BEGIN WITH A REVOLUTION) INTRODUCTION FUZZY LOGIC: Fuzzy logic was introduced by Prof. Lofti Zadeh in 1965 as a mathematical way to represent uncertainty in everyday life. It can provide the means to represent vague and fuzzy information, manipulate it, and to draw inferences from it. In
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p108_fuzzylogic kiet - FuzzyLogic F uzzyLogic AUTOMATION OF...

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