توضیحات
This exploration of fuzzy graph theory delves into the intricate relationships between fuzzy logic and graph theory, providing a comprehensive framework for understanding these interrelated concepts. The authors skillfully navigate through various topics, illuminating the nuances of fuzzy sets and their application to graph structures. Readers gain valuable insights into how fuzzy graphs can model uncertainty and imprecision, showcasing their relevance in real-world scenarios across multiple disciplines.
Additionally, the book presents a multitude of examples and applications that demonstrate the practicality of fuzzy graphs. Through rigorous analysis and clear explanations, the authors emphasize the significance of this emerging field within computer science, network analysis, and decision-making processes. The work stands as a testament to the versatility of fuzzy graph theory, inviting researchers and students alike to explore new horizons in mathematical modeling and computational methods.
Additionally, the book presents a multitude of examples and applications that demonstrate the practicality of fuzzy graphs. Through rigorous analysis and clear explanations, the authors emphasize the significance of this emerging field within computer science, network analysis, and decision-making processes. The work stands as a testament to the versatility of fuzzy graph theory, inviting researchers and students alike to explore new horizons in mathematical modeling and computational methods.
جزئیات کتاب
فرمت
جلد نرم
صفحات
337 صفحه
زبان
انگلیسی
منتشر شده
ژوئن 6, 2019
ناشر
Springer
نسخه
Softcover reprint of the original 1st ed. 2018
نسخهها
4 نسخه
ISBN-10
3319890700
ISBN-13
9783319890708