描述
This work delves into the intricate world of aggregation operators, specifically focusing on Ordered Weighted Averaging (OWA) operators. These operators serve as essential tools in a variety of technological applications, enhancing decision-making processes by allowing for the integration of various pieces of information into a cohesive summary.
The authors, Ronald R. Yager and J. Kacprzyk, meticulously explore the theoretical foundations of OWA operators while also presenting practical applications that showcase their utility. Through a comprehensive analysis, they highlight how these operators can be effectively employed in fields such as artificial intelligence, risk assessment, and data analysis, making this book an invaluable resource for researchers and practitioners alike seeking to harness the power of aggregated data.
The authors, Ronald R. Yager and J. Kacprzyk, meticulously explore the theoretical foundations of OWA operators while also presenting practical applications that showcase their utility. Through a comprehensive analysis, they highlight how these operators can be effectively employed in fields such as artificial intelligence, risk assessment, and data analysis, making this book an invaluable resource for researchers and practitioners alike seeking to harness the power of aggregated data.
書籍詳情
格式
精裝書
頁數
357 頁
語言
英語
已出版
May 31, 1997
出版商
Springer
版本
2 個版本
ISBN-10
079239934X
ISBN-13
9780792399346
