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Aggregation Functions: A Guide for Practitioners

Gleb Beliakov, Ana Pradera, Tomasa Calvo
Livre relié | Anglais | Studies in Fuzziness and Soft Computing | n° 221
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Description

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.

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Auteur(s) :
Editeur:

Contenu

Nombre de pages :
361
Langue:
Anglais
Collection :
Tome:
n° 221

Caractéristiques

EAN:
9783540737209
Date de parution :
12-02-08
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
156 mm x 234 mm
Poids :
712 g

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