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Fuzzy Models And Algorithms For Pattern Recognition And Image Processing 2005.pdf

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Fuzzy Models And Algorithms For Pattern Recognition And Image Processing 2005.pdf

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Fuzzy Models And Algorithms For Pattern Recognition And Image Processing 2005.pdf

文档介绍

文档介绍:Series Foreword
Fuzzy sets were introduced in 1965 by Lotfi Zadeh with a view to
reconcile mathematical modeling and human knowledge in the
engineering sciences. Since then, a considerable body of literature
has blossomed around the concept of fuzzy sets in an incredibly wide
range of areas, from mathematics and logic to traditional and
advanced engineering methodologies (from civil engineering to
computational intelligence). Applications are found in many
contexts, from medicine to finance, from human factors to
consumer products, from vehicle control putational
linguistics, and so on.... Fuzzy logic is now used in the industrial
practice of advanced information technology.
As a consequence of this trend, the number of conferences and
publications on fuzzy logic has grown exponentially, and it es
very difficult for students, ers, and even scientists already
familiar with some aspects of fuzzy sets, to find their way in the
maze of fuzzy papers. Notwithstanding circumstantial edited
volumes, numerous fuzzy books have appeared, but, if we except very
prehensive balanced textbooks, they are either very
specialized monographs, or remain at a rather superficial level.
Some are even misleading, conveying more ideology and
unsustained claims than actual scientific contents.
What is missing is anized set of detailed guidebooks to the
relevant literature, that help the students and the ing
scientist, having some preliminary knowledge of fuzzy sets, get
deeper in the field without wasting time, by being guided right away
in the heart of the literature relevant for her or his purpose. The
ambition of the HANDBOOKS OF FUZZY SETS is to address this
need. It will offer, in pass of several volumes, a full picture of
the current state of the art, in terms of the basic concepts, the
mathematical developments, and the engineering methodologies
that exploit the concept of fuzzy sets.
This collection will propose a series