Titlebook: Intelligent Counting Under Information Imprecision; Applications to Inte Maciej Wygralak Book 2013 Springer-Verlag Berlin Heidelberg 2013 D

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Book 2013..?.The whole presentation is self-contained, systematic, and equipped with many examples, figures and tables. Computer and information scientists, researchers, engineers and practitioners, applied mathematicians, and postgraduate students interested in information imprecision are the target readers

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Intelligent Counting Under Information ImprecisionApplications to Inte

adhesive

Introduction,ets modeled by interval-valued fuzzy sets and I-fuzzy sets. To make this book self-contained as much as possible, Part I presents selected elements of fuzzy sets, interval-valued fuzzy sets and I-fuzzy sets. This preliminary chapter is aimed at introducing the reader to the subject matter of Parts I

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Introduction,d computer science and decision support. The reason, in brief, is that fuzzy sets are an adequate and powerful tool when trying to cope with an important and omnipresent, but troublesome, type of information, namely imprecise information. The main issue this book addresses are methods of intelligent

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Seizure

Modeling Incompletely Known Fuzzy Sets we will deal with incompletely known fuzzy sets, i.e. fuzzy sets with incompletely known membership degrees. Two convenient and effective tools for their modeling will be presented: interval-valued fuzzy sets and I-fuzzy sets, Atanassov’s intuitionistic fuzzy sets. Although these constructions are