A methodology to arrive at a definite conclusion for vague, inaccurate, indefinite, noisy or missing input information

A methodology to arrive at a definite conclusion for vague, inaccurate, indefinite, noisy or missing input information

Author: Dattaraj Vidyasagar, Visit his website

RLT College of Science, Akola

2009-03-12
DFPASS, National Level Conference, RLT College of Science, Akola

Fuzzy logic is an approach to computing based on “degrees of truth” rather than the usual “true or false” (1 or 0) Boolean logic on which the modern computer is based. The idea of fuzzy logic was first advanced by Dr. Lotfi Zadeh of the University of California at Berkeley in the 1960s.

Abstract:

It is NOT in a way, a control methodology but a different way of processing your data by allowing partial set membership. The conventional crisp set membership or non membership processing involved a number of definite aspects on which you have to carry out the processing, but this methodology can give you the definite results even though the input information is vague, inaccurate, imprecise, noisy (in electronic terms) or even with some missing fractions! This approach to set theory was not applied to control systems until the 1970’s due to insufficient small-computer capability at that time. A challenge to implement the characteristic human psychology in a machine. A presentation not as a control methodology. But a novel idea of processing data by allowing partial set membership rather than crisp set membership or even non-membership…

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