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Fuzzy logic = an introductory course...

Trillas, Enric.

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Fuzzy logic = an introductory course for engineering students /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy logic/ by Enric Trillas, Luka Eciolaza.
其他題名:	an introductory course for engineering students /
作者:	Trillas, Enric.
其他作者:	Eciolaza, Luka.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xi, 204 p. :ill. (some col.), digital ;24 cm.
內容註:	On the roots of fuzzy sets -- Algebras of fuzzy sets -- Reasoning and fuzzy logic -- Fuzzy relations -- T-Preorders and T-Indistinguishabilities -- Fuzzy arithmetic -- Fuzzy measures -- An Introduction to Fuzzy Control.
Contained By:	Springer eBooks
標題:	Fuzzy logic. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-14203-6
ISBN:	9783319142036 (electronic bk.)

Fuzzy logic = an introductory course for engineering students /
Trillas, Enric.

Fuzzy logican introductory course for engineering students /[electronic resource] :by Enric Trillas, Luka Eciolaza. - Cham :Springer International Publishing :2015. - xi, 204 p. :ill. (some col.), digital ;24 cm. - Studies in fuzziness and soft computing,v.3201434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

On the roots of fuzzy sets -- Algebras of fuzzy sets -- Reasoning and fuzzy logic -- Fuzzy relations -- T-Preorders and T-Indistinguishabilities -- Fuzzy arithmetic -- Fuzzy measures -- An Introduction to Fuzzy Control.

This book introduces readers to fundamental concepts in fuzzy logic. It describes the necessary theoretical background and a number of basic mathematical models. Moreover, it makes them familiar with fuzzy control, an important topic in the engineering field. The book offers an unconventional introductory textbook on fuzzy logic, presenting theory together with examples and not always following the typical mathematical style of theorem-corollaries. Primarily intended to support engineers during their university studies, and to spark their curiosity about fuzzy logic and its applications, the book is also suitable for self-study, providing a valuable resource for engineers and professionals who deal with imprecision and non-random uncertainty in real-world applications.

ISBN: 9783319142036 (electronic bk.)

Standard No.: 10.1007/978-3-319-14203-6doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Fuzzy logic = an introductory course for engineering students /
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