04478nam 22008295 450 991025418890332120251116183144.09783319247533331924753010.1007/978-3-319-24753-3(CKB)3780000000094061(SSID)ssj0001584710(PQKBManifestationID)16265173(PQKBTitleCode)TC0001584710(PQKBWorkID)14865506(PQKB)11284423(DE-He213)978-3-319-24753-3(MiAaPQ)EBC6295560(MiAaPQ)EBC5587175(Au-PeEL)EBL5587175(OCoLC)1066179699(PPN)190530014(EXLCZ)99378000000009406120151014d2016 u| 0engurnn#008mamaatxtccrA Practical Guide to Averaging Functions /by Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XIX, 352 pages illustrations (color.)Studies in Fuzziness and Soft Computing,1434-9922 ;329Bibliographic Level Mode of Issuance: Monograph9783319247519 3319247514 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.Studies in Fuzziness and Soft Computing,1434-9922 ;329Computational intelligenceAutomatic controlRoboticsMechatronicsArtificial intelligenceOperations researchManagement scienceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Control, Robotics, Mechatronicshttps://scigraph.springernature.com/ontologies/product-market-codes/T19000Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Operations Research, Management Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/M26024Computational intelligence.Automatic control.Robotics.Mechatronics.Artificial intelligence.Operations research.Management science.Computational Intelligence.Control, Robotics, Mechatronics.Artificial Intelligence.Operations Research, Management Science.515.724Beliakov Glebauthttp://id.loc.gov/vocabulary/relators/aut760797Bustince Humbertoauthttp://id.loc.gov/vocabulary/relators/autCalvo Tomasaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254188903321A Practical Guide to Averaging Functions2535811UNINA