A practical guide to averaging funct...
Beliakov, Gleb.

 

  • A practical guide to averaging functions[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.3
    書名/作者: A practical guide to averaging functions/ by Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo Sanchez.
    作者: Beliakov, Gleb.
    其他作者: Bustince Sola, Humberto.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xix, 352 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Engineering.
    標題: Artificial intelligence.
    標題: Operations research.
    標題: Management science.
    標題: Computational intelligence.
    標題: Automatic control.
    標題: Robotics.
    標題: Mechatronics.
    標題: Control, Robotics, Mechatronics.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Operations Research, Management Science.
    ISBN: 9783319247533
    ISBN: 9783319247519
    摘要、提要註: This book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.
    電子資源: http://dx.doi.org/10.1007/978-3-319-24753-3
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