Beliakov / Pradera / Calvo Aggregation Functions: A Guide for Practitioners

Erscheinungsjahr 2007
ISBN: 978-3-540-73721-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 221, 361 Seiten, eBook

Reihe: Studies in Fuzziness and Soft Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Beliakov, Gleb

Pradera, Ana

Calvo, Tomasa

Inhaltsverzeichnis

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.