Aggregation Functions: A Guide for Practitioners

Beliakov, Gleb; Pradera, Ana; Calvo, Tomasa

ISBN 10: 3540737200 ISBN 13: 9783540737209
Published by Springer, 2008
New Hardcover

From Basi6 International, Irving, TX, U.S.A. Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

AbeBooks Seller since 24 June 2016

This specific item is no longer available.

About this Item

Description:

New. Delivery takes 25-30 days. Excellent Customer Service. Seller Inventory # POD-145578

Report this item

Synopsis:

Aggregation of information is of primary importance in the construction of knowledge based systems in various domains, ranging from medicine, economics, and engineering to decision-making processes, artificial intelligence, robotics, and machine learning. This book gives a broad introduction into the topic of aggregation functions, and provides a concise account of the properties and the main classes of such functions, including classical means, medians, ordered weighted averaging functions, Choquet and Sugeno integrals, triangular norms, conorms and copulas, uninorms, nullnorms, and symmetric sums. It also presents some state-of-the-art techniques, many graphical illustrations and new interpolatory aggregation functions. A particular attention is paid to identification and construction of aggregation functions from application specific requirements and empirical data. This book provides scientists, IT specialists and system architects with a self-contained easy-to-use guide, as well as examples of computer code and a software package. It will facilitate construction of decision support, expert, recommender, control and many other intelligent systems.

From the Back Cover:

Aggregation of information is of primary importance in the construction of knowledge based systems in various domains, ranging from medicine, economics, and engineering to decision-making processes, artificial intelligence, robotics, and machine learning. This book gives a broad introduction into the topic of aggregation functions, and provides a concise account of the properties and the main classes of such functions, including classical means, medians, ordered weighted averaging functions, Choquet and Sugeno integrals, triangular norms, conorms and copulas, uninorms, nullnorms, and symmetric sums. It also presents some state-of-the-art techniques, many graphical illustrations and new interpolatory aggregation functions. A particular attention is paid to identification and construction of aggregation functions from application specific requirements and empirical data. This book provides scientists, IT specialists and system architects with a self-contained easy-to-use guide, as well as examples of computer code and a software package. It will facilitate construction of decision support, expert, recommender, control and many other intelligent systems.

"About this title" may belong to another edition of this title.

Bibliographic Details

Title: Aggregation Functions: A Guide for ...
Publisher: Springer
Publication Date: 2008
Binding: Hardcover
Condition: Brand New

Top Search Results from the AbeBooks Marketplace

There are 1 more copies of this book

View all search results for this book