Mathematics of Fuzzy Sets and Fuzzy Logic - Info and Reading Options
By Barnabas Bede
"Mathematics of Fuzzy Sets and Fuzzy Logic" was published by Springer Berlin Heidelberg in 2013 - Berlin, Heidelberg, it has 326 pages and the language of the book is English.
“Mathematics of Fuzzy Sets and Fuzzy Logic” Metadata:
- Title: ➤ Mathematics of Fuzzy Sets and Fuzzy Logic
- Author: Barnabas Bede
- Language: English
- Number of Pages: 326
- Publisher: Springer Berlin Heidelberg
- Publish Date: 2013
- Publish Location: Berlin, Heidelberg
“Mathematics of Fuzzy Sets and Fuzzy Logic” Subjects and Themes:
- Subjects: ➤ Symbolic and mathematical Logic - Computational intelligence - Math Applications in Computer Science - Engineering - Computer science - Game Theory, Economics, Social and Behav. Sciences - Mathematics - Mathematical Logic and Foundations - Fuzzy logic - Fuzzy sets
Edition Specifications:
- Format: [electronic resource] /
- Pagination: XII, 326 p. 75 illus.
Edition Identifiers:
- The Open Library ID: OL27073385M - OL19886443W
- Library of Congress Control Number (LCCN): 2012953384
- ISBN-13: 9783642352218
- All ISBNs: 9783642352218
AI-generated Review of “Mathematics of Fuzzy Sets and Fuzzy Logic”:
"Mathematics of Fuzzy Sets and Fuzzy Logic" Table Of Contents:
- 1- <p>1 Fuzzy Sets
- 2- <p>2 Fuzzy Set-Theoretic Operations
- 3- <p>3 Fuzzy Relations
- 4- <p>4 Fuzzy numbers
- 5- <p>5 Fuzzy Arithmetic
- 6- <p>6 Fuzzy Inference
- 7- <p>7 Single Input Single Output Fuzzy Systems
- 8- <p>8 Fuzzy Analysis
- 9- <p>9 Fuzzy Differential Equations
- 10- <p>10 Extensions of Fuzzy Set Theory
- 11- <p>11 Possibility Theory
- 12- <p>12 Fuzzy Clustering
- 13- <p>13 Fuzzy Transform
- 14- </p><p>14 Arti cial Neural Networks and Neuro-Fuzzy Systems.</p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p>.
"Mathematics of Fuzzy Sets and Fuzzy Logic" Description:
The Open Library:
<p>This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic.</p><p> </p><p>Fuzzy Sets have been introduced by Lotfi Zadeh in 1965 and since then, they have been used in many applications. As a consequence, there is a vast literature on the practical applications of fuzzy sets, while theory has a more modest coverage. The main purpose of the present book is to reduce this gap by providing a theoretical introduction into Fuzzy Sets based on Mathematical Analysis and Approximation Theory. Well-known applications, as for example fuzzy control, are also discussed in this book and placed on new ground, a theoretical foundation. Moreover, a few advanced chapters and several new results are included. These comprise, among others, a new systematic and constructive approach for fuzzy inference systems of Mamdani and Takagi-Sugeno types, that investigates their approximation capability by providing new error estimates.</p><p> </p><p>
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