Aggregation Functions in Theory and in Practice (Advances in Intelligent Systems and Computing)
暫譯: 理論與實務中的聚合函數（智能系統與計算進展）

Aggregation Functions in Theory and in Practice (Advances in Intelligent Systems and Computing)
  • 出版商: Springer
  • 出版日期: 2017-05-19
  • 售價: $6,780
  • 貴賓價: 9.5 折 $6,441
  • 語言: 英文
  • 頁數: 292
  • 裝訂: Paperback
  • ISBN: 3319593056
  • ISBN-13: 9783319593050

    • 海外代購書籍(需單獨結帳)

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商品描述

This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed.

Aggregation functions are used for data fusion and decision making.

Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).

商品描述(中文翻譯)

本書收錄了2017年AGOP第九屆國際聚合運算子暑期學校所發表的貢獻摘要。會議於2017年6月在瑞典斯科夫德舉行。貢獻內容涵蓋了聚合函數的理論與基礎知識，以及其在應用中的使用。聚合函數通常被定義為那些單調的函數，並且滿足一致性條件。在特定的情境下，這些條件會被放寬。

聚合函數用於數據融合和決策制定。

這些函數的例子包括均值、t-範數和t-共範數、聯合分布函數以及模糊積分（例如，Choquet積分和Sugeno積分）。

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