Aggregation functions : a guide for practitioners

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 th...

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Bibliographic Details
Main Authors: Beliakov, Gleb, Calvo, Tomasa, 1954- (Author), Pradera, Ana, 19..- (Author)
Format: Livre numérique
Language:Anglais
Published: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edition:1st ed. 2007.
Series:Studies in Fuzziness and Soft Computing 221
Online Access:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Aggregation Functions: A Guide for Practitioners, Texte imprimé, 9783540737209
• Aggregation Functions: A Guide for Practitioners, Texte imprimé, 9783642092893
• Aggregation Functions: A Guide for Practitioners, Texte imprimé, 9783540841180
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245 1 0 |a Aggregation functions :  |b a guide for practitioners   |c by Gleb Beliakov, Ana Pradera, Tomasa Calvo. 
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505 1 |a Averaging Functions Conjunctive and Disjunctive Functions Mixed Functions Choice and Construction of Aggregation Functions Interpolatory Type Aggregation Functions Other Types of Aggregation and Additional Properties 
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520 |a 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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