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Contemporary fuzzy logic = a perspec...

Tomasiello, Stefania.

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Contemporary fuzzy logic = a perspective of fuzzy logic with scilab /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Contemporary fuzzy logic/ by Stefania Tomasiello, Witold Pedrycz, Vincenzo Loia.
其他題名:	a perspective of fuzzy logic with scilab /
作者:	Tomasiello, Stefania.
其他作者:	Pedrycz, Witold.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xi, 136 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction to fuzzy sets -- Fuzzy numbers -- Fuzzy relations -- Fuzzy logic -- Fuzzy inference systems -- Combining artiﬁcial neural networks and fuzzy sets -- Fuzzy transform -- Introduction to granular computing.
Contained By:	Springer Nature eBook
標題:	Fuzzy logic. -
電子資源:	https://doi.org/10.1007/978-3-030-98974-3
ISBN:	9783030989743

Contemporary fuzzy logic = a perspective of fuzzy logic with scilab /
Tomasiello, Stefania.

Contemporary fuzzy logica perspective of fuzzy logic with scilab /[electronic resource] :by Stefania Tomasiello, Witold Pedrycz, Vincenzo Loia. - Cham :Springer International Publishing :2022. - xi, 136 p. :ill. (some col.), digital ;24 cm. - Big and integrated artificial intelligence,v. 12662-4141 ;. - Big and integrated artificial intelligence ;v. 1..

Introduction to fuzzy sets -- Fuzzy numbers -- Fuzzy relations -- Fuzzy logic -- Fuzzy inference systems -- Combining artiﬁcial neural networks and fuzzy sets -- Fuzzy transform -- Introduction to granular computing.

This book offers an essential introduction to fuzzy logic, starting with the classical notions and going through more advanced notions from the current state-of-the-art research. Each of the major topics is accompanied by examples, problems and Scilab codes. As a free open source software, Scilab offers everyone the chance to practice the concepts learned through the book. The book represents a synthesis of authors' research and experience through the lectures delivered to university students. It is primarily intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics and engineering. It also represents a valuable resource for practitioners and researchers alike, bringing ideas for projects in the broad field of fuzzy logic.

ISBN: 9783030989743

Standard No.: 10.1007/978-3-030-98974-3doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64 / .T65 2022

Dewey Class. No.: 511.313

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