000752867 000__ 03322cam\a2200553Mi\4500 000752867 001__ 752867 000752867 005__ 20230306141438.0 000752867 006__ m\\\\\o\\d\\\\\\\\ 000752867 007__ cr\nn\nnnunnun 000752867 008__ 151014s2016\\\\sz\\\\\\od\\\\000\0\eng\d 000752867 019__ $$a932002713 000752867 020__ $$a9783319247533$$q(electronic book) 000752867 020__ $$a3319247530$$q(electronic book) 000752867 020__ $$z9783319247519 000752867 020__ $$z3319247514 000752867 0247_ $$a10.1007/978-3-319-24753-3$$2doi 000752867 035__ $$aSP(OCoLC)ocn932169510 000752867 035__ $$aSP(OCoLC)932169510$$z(OCoLC)932002713 000752867 040__ $$aNUI$$beng$$cNUI$$dOCLCO$$dCOO$$dOCLCF$$dGW5XE$$dYDXCP 000752867 049__ $$aISEA 000752867 050_4 $$aQ342 000752867 08204 $$a006.3$$223 000752867 1001_ $$aBeliakov, Gleb.$$eauthor. 000752867 24512 $$aA practical guide to averaging functions$$h[electronic resource] /$$cby Gleb Beliakov, Humberto Bustince Sola, Tomasa Calvo Sánchez. 000752867 264_1 $$aCham :$$bSpringer,$$c2016. 000752867 300__ $$a1 online resource (xix, 352 pages) :$$billustrations. 000752867 336__ $$atext$$btxt$$2rdacontent 000752867 337__ $$acomputer$$bc$$2rdamedia 000752867 338__ $$aonline resource$$bcr$$2rdacarrier 000752867 347__ $$atext file$$bPDF$$2rda 000752867 4901_ $$aStudies in Fuzziness and Soft Computing,$$x1434-9922 ;$$v329 000752867 506__ $$aAccess limited to authorized users. 000752867 520__ $$aThis book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value. 000752867 650_0 $$aEngineering. 000752867 650_0 $$aArtificial intelligence. 000752867 650_0 $$aOperations research. 000752867 650_0 $$aManagement science. 000752867 650_0 $$aComputational intelligence. 000752867 650_0 $$aAutomatic control. 000752867 650_0 $$aRobotics. 000752867 650_0 $$aMechatronics. 000752867 7001_ $$aBustince Sola, Humberto.$$eauthor. 000752867 7001_ $$aCalvo Sánchez, Tomasa.$$eauthor. 000752867 77608 $$iPrint version:$$z9783319247519 000752867 830_0 $$aStudies in fuzziness and soft computing ;$$v329. 000752867 852__ $$bebk 000752867 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-24753-3$$zOnline Access$$91397441.1 000752867 909CO $$ooai:library.usi.edu:752867$$pGLOBAL_SET 000752867 980__ $$aEBOOK 000752867 980__ $$aBIB 000752867 982__ $$aEbook 000752867 983__ $$aOnline 000752867 994__ $$a92$$bISE