TY  - BOOK
AU  - Wygralak,Maciej
ED  - SpringerLink (Online service)
TI  - Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 
T2  - Studies in Fuzziness and Soft Computing,
SN  - 9783642346859
AV  - Q342 
U1  - 006.3 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Operations research
KW  - Decision making
KW  - Artificial intelligence
KW  - Computational intelligence
KW  - Computational Intelligence
KW  - Operation Research/Decision Theory
KW  - Artificial Intelligence (incl. Robotics)
N2  - Counting belongs to the most elementary and frequent mental activities of human beings. Its results are a basis for coming to a decision in a lot of situations and dimensions of our life. This book presents a novel approach to the advanced and sophisticated case, called intelligent counting, in which the objects of counting are imprecisely, fuzzily specified. Formally, this collapses to counting in fuzzy sets, interval-valued fuzzy sets or I-fuzzy sets (Atanassov's intuitionistic fuzzy sets).   The monograph is the first one showing and emphasizing that the presented methods of intelligent counting are human-consistent: are reflections and formalizations of real, human counting procedures performed under imprecision and, possibly, incompleteness of information. Other applications of intelligent counting in various areas of intelligent systems and decision support will be discussed, too.   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
UR  - http://dx.doi.org/10.1007/978-3-642-34685-9
ER  -