9780521519267 - Aggregation Functions (Encyclopedia of Mathematics and its Applications) (Encyclopedia of Mathematics & Its Applications, Band 127) von Grabisch, Michel; Marichal, ... (5 Ergebnisse)

Hardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardcover. Zustand: Gut. 482 pp. Dust jacket with slight signs of wear and discolored at spine, otherwise very well preserved copy 362 Sprache: Englisch Gewicht in Gramm: 1483.

Zustand: New. In.

Zustand: New. A rigorous and self-contained exposition of aggregation functions and their properties. Series: Encyclopedia of Mathematics and Its Applications. Num Pages: 482 pages, 2 b/w illus. 12 tables. BIC Classification: PBCD. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 228 x 152 x 27. Weight in Grams: 850. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Aggregation is the process of combining several numerical values into a single representative value, and an aggregation function performs this operation. These functions arise wherever aggregating information is important: applied and pure mathematics (probability, statistics, decision theory, functional equations), operations research, computer science, and many applied fields (economics and finance, pattern recognition and image processing, data fusion, etc.). This is a comprehensive, rigorous and self-contained exposition of aggregation functions. Classes of aggregation functions covered include triangular norms and conorms, copulas, means and averages, and those based on nonadditive integrals. The properties of each method, as well as their interpretation and analysis, are studied in depth, together with construction methods and practical identification methods. Special attention is given to the nature of scales on which values to be aggregated are defined (ordinal, interval, ratio, bipolar). It is an ideal introduction for graduate students and a unique resource for researchers.