Is 'Fuzzy Theory' an Appropriate Tool for Large Size Problems?

Anglický jazyk

Is 'Fuzzy Theory' an Appropriate Tool for Large Size Problems?

Vydavateľstvo: Springer International Publishing
Rok vydania: 2015
Formát: Paperback
Rozmer: 235 x 155 mm
Jazyk: Anglický jazyk
ISBN: 9783319267173

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O knihe

The
work in this book is based on philosophical as well as logical views on the
subject of decoding the 'progress' of decision making process in
the cognition system of a decision maker (be it a human or an animal or a bird
or any living thing which has a brain) while evaluating the membership value
µ(x) in a fuzzy set or in an intuitionistic fuzzy set or in any
such soft computing set model or in a crisp set. A new theory is
introduced called by "Theory of CIFS". The following two hypothesis
are hidden facts in fuzzy computing or in any soft computing process :-
Fact-1: A decision maker
(intelligent agent) can never use or apply 'fuzzy theory'
or any soft-computing set theory without intuitionistic fuzzy system.Fact-2 : The Fact-1 does not
necessarily require that a fuzzy decision maker (or a crisp ordinary decision
maker or a decision maker with any other soft theory models or a decision maker
like animal/bird which has brain, etc.) must be aware or
knowledgeable about IFS Theory!

The "Theory of
CIFS" is developed with a careful analysis unearthing the correctness of these
two facts. Two examples of 'decision making problems' with complete solutions
are presented out of which one example will show the dominance of the
application potential of intuitionistic fuzzy set theory over fuzzy set theory,
and the other will show the converse i.e. the dominance of the
application potential of fuzzy set theory over intuitionistic fuzzy set theory
in some cases. The "Theory of CIFS" may be viewed to belong to the subjects :
Theory of Intuitionistic Fuzzy Sets, Soft Computing, Artificial Intelligence,
etc.