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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.
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Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support
Feb 08, 2015, Springer
paperback
364243990X 9783642439902
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Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642346855 9783642346859
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Feedback?February 27, 2022 | Edited by ImportBot | import existing book |
July 1, 2019 | Created by MARC Bot | import new book |