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Fuzzy sets and fuzzy logic with engineering applications / Timothy J. Ross

By: Material type: TextTextPublication details: India Wiley India Pvt. Ltd., 2021Edition: 4th edDescription: 712pISBN:
  • 9788126502608
Subject(s): DDC classification:
  • 620.00151 ROS-T
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Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Course Text Book Course Text Book BITS Pilani Hyderabad 620 Text & Reference Section (Student cannot borrow these books) 620.00151 ROS-T (Browse shelf(Opens below)) Available 46420
Course Text Book Course Text Book BITS Pilani Hyderabad 620 Text & Reference Section (Student cannot borrow these books) 620.00151 ROS-T (Browse shelf(Opens below)) Available 46421
Course Text Book Course Text Book BITS Pilani Hyderabad 620 Text & Reference Section (Student cannot borrow these books) 620.00151 ROS-T (Browse shelf(Opens below)) Checked out 08/03/2025 45488
Total holds: 0

Fuzzy Logic with Engineering Applications, Fourth Edition Timothy J. Ross, University of New Mexico, USA The latest update on this popular textbook The importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. Fuzzy Logic with Engineering Applications, Fourth Edition is a new edition of the popular textbook with 15% new and updated material. Updates have been made to most of the chapters, and each chapter now includes new end-of-chapter problems. Key features: New edition of the popular textbook with 15% of new and updated material. Includes recent examples and end-of-chapter problems. It has been made more concise with the removal of out-of-date material. Covers applications of fuzzy logic to engineering and science. She is accompanied by a website hosting a solutions manual and software. The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering, as well as researchers and practitioners working with fuzzy logic in industry.

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