Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition

Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition book cover

Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition

Author(s): Maciej Wygralak (Author)

  • Publisher: Springer
  • Publication Date: February 8, 2015
  • Edition: 2013th
  • Language: English
  • Print length: 302 pages
  • ISBN-10: 364243990X
  • ISBN-13: 9783642439902

Book Description

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.

Editorial Reviews

From the Back Cover

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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未经允许不得转载:Wow! eBook » Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition

Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition

Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition book cover

Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition

Author(s): Maciej Wygralak (Author)

  • Publisher: Springer
  • Publication Date: May 14, 2013
  • Edition: 2013th
  • Language: English
  • Print length: 302 pages
  • ISBN-10: 9783642346842
  • ISBN-13: 9783642346842

Book Description

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.

Editorial Reviews

From the Back Cover

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.

View on Amazon

未经允许不得转载:Wow! eBook » Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support 2013th Edition