Vaguely Defined Objects: Representations, Fuzzy Sets and Nonclassical Cardinality theory (Theory and Decision Library B)

Vaguely Defined Objects: Representations, Fuzzy Sets and Nonclassical Cardinality theory (Theory and Decision Library B)
Автор
 
Год
 
Страниц
 
288
ISBN
 
ISBN10:0792338502
Издатель
 
Springer

Описание:

This unique monograph explores the cardinal, or quantitative, aspects of objects in the presence of vagueness, called vaguely defined objects. In the first part of the book such topics as fuzzy sets and derivative ideas, twofold fuzzy sets, and flow sets are concisely reviewed as typical mathematical representations of vaguely defined objects. Also, a unifying, approximative representation is presented. The second part uses this representation, together with Lukasiewicz logic as a basis for constructing a complete, general and easily applicable nonclassical cardinality theory for vaguely defined objects. Applications to computer and information science are discussed. Audience: This volume will be of interest to mathematicians, computer and information scientists, whose work involves mathematical aspects of vagueness, fuzzy sets and their methods, applied many-valued logics, expert systems and data bases.

Похожие книги

Mathematical tools for data mining: set theory, partial orders, combinatoricsMathematical tools for data mining: set theory, partial orders, combinatorics
Автор: Simovici Dan A., Djeraba Chabane
Год: 2008
Rough Sets and Data Mining: Analysis for Imprecise DataRough Sets and Data Mining: Analysis for Imprecise Data
Автор: T. Y. Lin, N. Cercone
Год: 1999
Transactions on Rough Sets VIII (Lecture Notes in Computer Science)Transactions on Rough Sets VIII (Lecture Notes in Computer Science)
Автор: Andreas Meier, Henrik Stormer
Год: 2008