New PDF release: Is ‘Fuzzy Theory’ an Appropriate Tool for Large Size

The
work during this publication is predicated on philosophical in addition to logical perspectives on the
subject of deciphering  the ‘progress’ of  determination making technique in
the cognition approach of a choice maker (be it a human or an animal or a bird
or any residing factor which has a mind) whereas comparing the club value
µ(x)  in a fuzzy set  or in an intuitionistic fuzzy set or in any
such smooth computing set version or in a crisp set.  a brand new thought is
introduced referred to as through “Theory of CIFS”.   the next hypothesis
are hidden evidence in fuzzy computing or in any gentle computing approach :-

Fact-1: a choice maker
(intelligent agent)  can by no means use or apply  ‘fuzzy theory’
or any soft-computing set theory without intuitionistic fuzzy system.

Fact-2 : The Fact-1 does not
necessarily require fuzzy determination maker (or a crisp traditional decision
maker or a choice maker with the other tender idea types or a choice maker
like animal/bird which has mind, etc.)  must bear in mind or
knowledgeable approximately IFS Theory!

The “Theory of
CIFS” is built with a cautious research unearthing the correctness of these
two evidence. examples of ‘decision making difficulties’ with whole solutions
are offered out of which one instance will convey the dominance of the
application strength of intuitionistic fuzzy set conception over fuzzy set theory,
and the opposite will convey the communicate  i.e. the dominance of the
application power of fuzzy set thought over intuitionistic fuzzy set theory
in a few instances. The “Theory of CIFS” might be seen to belong to the topics :
Theory of Intuitionistic Fuzzy units, smooth Computing, synthetic Intelligence,
etc.