Mathematics of Fuzziness—Basic Issues

Research output: Report/bookBook as authorpeer-review

Standard

Mathematics of Fuzziness—Basic Issues. / Wang, Xuzhu; Ruan, Da; Kerre, Etienne; Kabak, Özgür (Peer reviewer).

1 ed. Berlin, Germany : Springer, 2009. 219 p. (Studies in Fuzziness and Soft Computing; No. ISSN 1434-9922).

Research output: Report/bookBook as authorpeer-review

Harvard

Wang, X, Ruan, D, Kerre, E & Kabak, Ö 2009, Mathematics of Fuzziness—Basic Issues. Studies in Fuzziness and Soft Computing, no. ISSN 1434-9922, vol. 1, 1 edn, Springer, Berlin, Germany.

APA

Wang, X., Ruan, D., Kerre, E., & Kabak, Ö. (2009). Mathematics of Fuzziness—Basic Issues. (1 ed.) (Studies in Fuzziness and Soft Computing; No. ISSN 1434-9922). Springer.

Vancouver

Wang X, Ruan D, Kerre E, Kabak Ö. Mathematics of Fuzziness—Basic Issues. 1 ed. Berlin, Germany: Springer, 2009. 219 p. (Studies in Fuzziness and Soft Computing; ISSN 1434-9922).

Author

Wang, Xuzhu ; Ruan, Da ; Kerre, Etienne ; Kabak, Özgür. / Mathematics of Fuzziness—Basic Issues. 1 ed. Berlin, Germany : Springer, 2009. 219 p. (Studies in Fuzziness and Soft Computing; ISSN 1434-9922).

Bibtex - Download

@book{684373fa598a4e60bc0319d1f73493c0,
title = "Mathematics of Fuzziness—Basic Issues",
abstract = "Mathematics of Fuzziness—Basic Issues introduces a basic notion of {\textquoteleft}fuzziness{\textquoteright} and provides a conceptual mathematical framework to characterize such fuzzy phenomena in Studies in Fuzziness and Soft Computing. The book systematically presents a self-contained introduction to the essentials of mathematics of fuzziness ranging from fuzzy sets, fuzzy relations, fuzzy numbers, fuzzy algebra, fuzzy measures, fuzzy integrals, and fuzzy topology to fuzzy control in a strictly mathematical manner. It contains most of the authors{\textquoteright} research results in the field of fuzzy set theory and has evolved from the authors{\textquoteright} lecture notes to both undergraduate and graduate students over the last three decades. A lot of exercises in each chapter of the book are particularly suitable as a textbook for any undergraduate and graduate student in mathematics, computer science and engineering. The reading of the book will surely lay a solid foundation for further research on fuzzy set theory and its applications.",
keywords = "AI, computer engineering, fuzzy logic",
author = "Xuzhu Wang and Da Ruan and Etienne Kerre and {\"O}zg{\"u}r Kabak",
note = "Score = 30",
year = "2009",
month = may,
language = "English",
isbn = "978-3-540-78310-7",
volume = "1",
series = "Studies in Fuzziness and Soft Computing",
publisher = "Springer",
number = "ISSN 1434-9922",
edition = "1",

}

RIS - Download

TY - BOOK

T1 - Mathematics of Fuzziness—Basic Issues

AU - Wang, Xuzhu

AU - Ruan, Da

AU - Kerre, Etienne

A2 - Kabak, Özgür

N1 - Score = 30

PY - 2009/5

Y1 - 2009/5

N2 - Mathematics of Fuzziness—Basic Issues introduces a basic notion of ‘fuzziness’ and provides a conceptual mathematical framework to characterize such fuzzy phenomena in Studies in Fuzziness and Soft Computing. The book systematically presents a self-contained introduction to the essentials of mathematics of fuzziness ranging from fuzzy sets, fuzzy relations, fuzzy numbers, fuzzy algebra, fuzzy measures, fuzzy integrals, and fuzzy topology to fuzzy control in a strictly mathematical manner. It contains most of the authors’ research results in the field of fuzzy set theory and has evolved from the authors’ lecture notes to both undergraduate and graduate students over the last three decades. A lot of exercises in each chapter of the book are particularly suitable as a textbook for any undergraduate and graduate student in mathematics, computer science and engineering. The reading of the book will surely lay a solid foundation for further research on fuzzy set theory and its applications.

AB - Mathematics of Fuzziness—Basic Issues introduces a basic notion of ‘fuzziness’ and provides a conceptual mathematical framework to characterize such fuzzy phenomena in Studies in Fuzziness and Soft Computing. The book systematically presents a self-contained introduction to the essentials of mathematics of fuzziness ranging from fuzzy sets, fuzzy relations, fuzzy numbers, fuzzy algebra, fuzzy measures, fuzzy integrals, and fuzzy topology to fuzzy control in a strictly mathematical manner. It contains most of the authors’ research results in the field of fuzzy set theory and has evolved from the authors’ lecture notes to both undergraduate and graduate students over the last three decades. A lot of exercises in each chapter of the book are particularly suitable as a textbook for any undergraduate and graduate student in mathematics, computer science and engineering. The reading of the book will surely lay a solid foundation for further research on fuzzy set theory and its applications.

KW - AI

KW - computer engineering

KW - fuzzy logic

UR - http://knowledgecentre.sckcen.be/so2/bibref/6041

M3 - Book as author

SN - 978-3-540-78310-7

VL - 1

T3 - Studies in Fuzziness and Soft Computing

BT - Mathematics of Fuzziness—Basic Issues

PB - Springer

CY - Berlin, Germany

ER -

ID: 73392