Advanced Fuzzy Logic Approaches in Engineering Science

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering
Cover of the book Advanced Fuzzy Logic Approaches in Engineering Science by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522557111
Publisher: IGI Global Publication: September 14, 2018
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781522557111
Publisher: IGI Global
Publication: September 14, 2018
Imprint: Engineering Science Reference
Language: English

Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

More books from IGI Global

Cover of the book Transactional Environmental Support System Design by
Cover of the book Security and Privacy in Smart Sensor Networks by
Cover of the book Internet Mercenaries and Viral Marketing by
Cover of the book Engineering Tools and Solutions for Sustainable Transportation Planning by
Cover of the book Political Scandal, Corruption, and Legitimacy in the Age of Social Media by
Cover of the book Securing Transactions and Payment Systems for M-Commerce by
Cover of the book New Generation of Portal Software and Engineering by
Cover of the book Global Perspectives on Achieving Success in High and Low Cost Operating Environments by
Cover of the book Smart Cities as a Solution for Reducing Urban Waste and Pollution by
Cover of the book Emerging Trends and Applications of the Internet of Things by
Cover of the book Advanced Nanomaterials for Water Engineering, Treatment, and Hydraulics by
Cover of the book Research 2.0 and the Impact of Digital Technologies on Scholarly Inquiry by
Cover of the book Defending Human Rights and Democracy in the Era of Globalization by
Cover of the book Transdisciplinary Marketing Concepts and Emergent Methods for Virtual Environments by
Cover of the book Advancing Collaborative Knowledge Environments by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy