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Aggregation Functions

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Aggregation Functions 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.

About This Edition

ISBN: 9783540737209
Publication date:
Author: Gleb Beliakov, Ana Pradera, Tomasa Calvo
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 361 pages
Series: Studies in Fuzziness and Soft Computing
Genres: Mathematical theory of computation
Artificial intelligence
Maths for engineers
Software Engineering