書籍詳情
格式
精裝書
頁數
444
語言
英語
已出版
Jan 1, 1990
出版商
Research Studies Press
ISBN-10
0863801021
ISBN-13
9780863801020
描述
This work delves into the innovative intersection of fuzzy logic and Prolog, focusing on the development of a database system tailored for uncertain information. With the rapid evolution of technology and the surge in data complexity, the authors meticulously explore how fuzzy logic enhances traditional database systems, making them more adaptable to real-world applications where ambiguity is a common challenge.
The narrative captures the theoretical underpinnings of fuzzy logic, illustrating its practicality in enhancing Prolog's capabilities. The authors guide readers through foundational concepts while providing a robust framework that supports the implementation of fuzzy logic within a Prolog database structure. The emphasis on real-world applications makes it especially pertinent for researchers and professionals in the field of computer science and engineering.
Throughout the text, readers will encounter various case studies and examples that illuminate the system’s effectiveness in managing vague data. Engaging and informative, the book serves as both a scholarly resource and a practical guide for those looking to navigate the complexities of fuzzy logic in database management.
By bridging theory and practice, the authors successfully demonstrate the relevance of their work to contemporary computing challenges, making this publication an essential resource for advancing understanding of fuzzy logic applications in database systems.
The narrative captures the theoretical underpinnings of fuzzy logic, illustrating its practicality in enhancing Prolog's capabilities. The authors guide readers through foundational concepts while providing a robust framework that supports the implementation of fuzzy logic within a Prolog database structure. The emphasis on real-world applications makes it especially pertinent for researchers and professionals in the field of computer science and engineering.
Throughout the text, readers will encounter various case studies and examples that illuminate the system’s effectiveness in managing vague data. Engaging and informative, the book serves as both a scholarly resource and a practical guide for those looking to navigate the complexities of fuzzy logic in database management.
By bridging theory and practice, the authors successfully demonstrate the relevance of their work to contemporary computing challenges, making this publication an essential resource for advancing understanding of fuzzy logic applications in database systems.