Author: Michel Grabisch
Edition: 1
Binding: Hardcover
ISBN: 0521519268
Edition: 1
Binding: Hardcover
ISBN: 0521519268
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation is the process of combining several numerical values into a single representative value, and an aggregation function performs this operation. Download Aggregation Functions (Encyclopedia of Mathematics and its Applications) from rapidshare, mediafire, 4shared. 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 Search and find a lot of education books in many category availabe for free download.
Aggregation Functions Download
Aggregation Functions education books for free. 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 hese 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
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