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F UZZY C ONTROL : Mamdani & Takagi-Sugeno Controllers

F UZZY C ONTROL : Mamdani & Takagi-Sugeno Controllers

F UZZY C ONTROL : Mamdani & Takagi-Sugeno Controllers. Khurshid Ahmad, Professor of Computer Science, Department of Computer Science Trinity College, Dublin-2, IRELAND October 29/Nov 5th, 2010 https://www.cs.tcd.ie/Khurshid.Ahmad/Teaching/Teaching.html. 1.

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1.48k views • 114 slides
CSNB234 ARTIFICIAL INTELLIGENCE

CSNB234 ARTIFICIAL INTELLIGENCE

CSNB234 ARTIFICIAL INTELLIGENCE. Chapter 8.1 Introduction to Fuzzy Logic and Fuzzy Rules. Instructor: Alicia Tang Y. C. Fuzzy Thinking. Fuzzy logic is used to describe fuzziness . Where fuzzy logic is the theory of fuzzy sets, sets that calibrate vagueness

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363 views • 35 slides
CCSB354 ARTIFICIAL INTELLIGENCE

CCSB354 ARTIFICIAL INTELLIGENCE

CCSB354 ARTIFICIAL INTELLIGENCE. Chapter 9.2 Introduction to Fuzzy Logic. (Chapter 9, pp. 353-363, Textbook) (Chapter 7, Ref. #1). Instructor: Alicia Tang Y. C. Fuzzy Logic & Fuzzy Thinking. Fuzzy logic is used to describe fuzziness. It is not a logic that is fuzzy

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425 views • 33 slides
Fuzzy Inference Systems

Fuzzy Inference Systems

Fuzzy Inference Systems. Fuzzy inference ( reasoning ) is the actual process of mapping from a given input to an output using fuzzy logic . The process involves all the pieces that we have discussed in the previous sections: membership functions, fuzzy logic operators , and if - then rules.

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376 views • 18 slides
M ember s of the C onsortium

M ember s of the C onsortium

Intelligent I nformation E xpert S ystem for E mployment and G eneral P urposed F uzzy S hell. M ember s of the C onsortium. Technological centre: Solware Informati on Technology Ltd . Tasks: c oordinator project lead er software development Knowledge centre:

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146 views • 14 slides
M ember s of the C onsortium

M ember s of the C onsortium

Intelligent I nformation E xpert S ystem for E mployment and G eneral P urposed F uzzy S hell. M ember s of the C onsortium. Technological centre: Solware Informati on Technology Ltd . Tasks: c oordinator project lead er software development Knowledge centre:

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149 views • 14 slides
A New Hendecagonal Fuzzy Number For Optimization Problems

A New Hendecagonal Fuzzy Number For Optimization Problems

A new fuzzy number called Hendecagonal fuzzy number and its membership function is introduced, which is used to represent the uncertainty with eleven points. The fuzzy numbers with ten ordinates exists in literature. The aim of this paper is to define Hendecagonal fuzzy number and its arithmetic operations. Also a direct approach is proposed to solve fuzzy assignment problem FAP and fuzzy travelling salesman FTSP in which the cost and distance are represented by Hendecagonal fuzzy numbers. Numerical example shows the effectiveness of the proposed method and the Hendecagonal fuzzy number M. Revathi | Dr. M. Valliathal | R. Saravanan | Dr. K. Rathi "A New Hendecagonal Fuzzy Number For Optimization Problems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: https://www.ijtsrd.com/papers/ijtsrd2258.pdf Paper URL: http://www.ijtsrd.com/mathemetics/applied-mathamatics/2258/a-new-hendecagonal-fuzzy-number-for-optimization-problems/m-revathi

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76 views • 7 slides

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