Fuzziness in Information Systems: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
暫譯: 資訊系統中的模糊性：如何處理選擇、分類和摘要中的清晰與模糊數據

Miroslav Hudec

Fuzziness in Information Systems: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
  • 出版商: Springer
  • 出版日期: 2018-04-22
  • 售價: $4,600
  • 貴賓價: 9.5 折 $4,370
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Paperback
  • ISBN: 3319825984
  • ISBN-13: 9783319825984

    • 海外代購書籍(需單獨結帳)

商品描述

This book is an essential contribution to the description of fuzziness in information systems. Usually users want to retrieve data or summarized information from a database and are interested in classifying it or building rule-based systems on it. But they are often not aware of the nature of this data and/or are unable to determine clear search criteria. The book examines theoretical and practical approaches to fuzziness in information systems based on statistical data related to territorial units.

Chapter 1 discusses the theory of fuzzy sets and fuzzy logic to enable readers to understand the information presented in the book. Chapter 2 is devoted to flexible queries and includes issues like constructing fuzzy sets for query conditions, and aggregation operators for commutative and non-commutative conditions, while Chapter 3 focuses on linguistic summaries. Chapter 4 presents fuzzy logic control architecture adjusted specifically for the aims of business and governmental agencies, and shows fuzzy rules and procedures for solving inference tasks. Chapter 5 covers the fuzzification of classical relational databases with an emphasis on storing fuzzy data in classical relational databases in such a way that existing data and normal forms are not affected. This book also examines practical aspects of user-friendly interfaces for storing, updating, querying and summarizing. Lastly, Chapter 6 briefly discusses possible integration of fuzzy queries, summarization and inference related to crisp and fuzzy databases. 

The main target audience of the book is researchers and students working in the fields of data analysis, database design and business intelligence. As it does not go too deeply into the foundation and mathematical theory of fuzzy logic and relational algebra, it is also of interest to advanced professionals developing tailored applications based on fuzzy sets.

商品描述(中文翻譯)

這本書對於資訊系統中模糊性的描述是一項重要的貢獻。通常，使用者希望從資料庫中檢索數據或摘要資訊，並對其進行分類或基於規則的系統建構。然而，他們往往對這些數據的性質並不清楚，或無法確定明確的搜尋標準。本書基於與區域單位相關的統計數據，探討了資訊系統中模糊性的理論和實踐方法。

第一章討論了模糊集合和模糊邏輯的理論，以幫助讀者理解書中所呈現的資訊。第二章專注於靈活查詢，涵蓋了構建查詢條件的模糊集合以及可交換和不可交換條件的聚合運算子等問題，而第三章則重點介紹語言摘要。第四章介紹了專門針對商業和政府機構目標調整的模糊邏輯控制架構，並展示了解決推理任務的模糊規則和程序。第五章涵蓋了經典關聯資料庫的模糊化，強調以不影響現有數據和正規形式的方式在經典關聯資料庫中存儲模糊數據。本書還探討了用於存儲、更新、查詢和摘要的使用者友好介面的實際方面。最後，第六章簡要討論了與清晰和模糊資料庫相關的模糊查詢、摘要和推理的可能整合。

本書的主要目標讀者是從事數據分析、資料庫設計和商業智慧領域的研究人員和學生。由於本書並未深入探討模糊邏輯和關聯代數的基礎和數學理論，因此對於開發基於模糊集合的定制應用的高級專業人士也具有吸引力。

類似商品