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Engineering - Computational Intelligence and Complexity | Intelligent Counting Under Information Imprecision - Applications to Intelligent Systems and Decision

Intelligent Counting Under Information Imprecision

Applications to Intelligent Systems and Decision Support

Wygralak, Maciej

2013, XII, 290 p. 69 illus.

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  • Recent advance in intelligent counting under imprecision of information
  • A self-contained presentation of the subject matter equipped with many figures, examples, and references to the source literature
  • Written by a leading expert in the field

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.

Content Level » Research

Keywords » Decision Making - Fuzzy Logic - Information Imprecision - Information Incompleteness - Intelligent Counting - Intelligent Systems - Intuitionistic Fuzzy Sets

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Operations Research & Decision Theory

Table of contents 

Part I Elements of Fuzzy Sets and their Extensions.- Part II Methods of Intelligent Counting under Information Imprecision.

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