@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",

}