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010   $a3-319-59306-4
024 7 $a10.1007/978-3-319-59306-7
035   $a(CKB)3710000001388382
035   $a(DE-He213)978-3-319-59306-7
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035   $a(PPN)201473208
035   $a(EXLCZ)993710000001388382
100   $a20170518d2018      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAggregation Functions in Theory and in Practice$b[electronic resource] /$fedited by Vicenç Torra, Radko Mesiar, Bernard De Baets
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XXV, 264 p. 41 illus.)
225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v581
311   $a3-319-59305-6 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aThe role of aggregation functions on auctions -- Aggregation of multidimensional data: a review -- k-maxitivity of order-preserving Homomorphisms of lattices -- Directional and Ordered Directional Monotonicity of Mixture Functions -- On Stability of Families for Improper Aggregation Operators -- On Implication Operators -- Some results about fuzzy consequence operators and fuzzy preorders using conjunctors.
330   $aThis book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).
410  0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v581
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
676   $a515.724
702   $aTorra$b Vicenç$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMesiar$b Radko$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aBaets$b Bernard De$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299920603321
996   $aAggregation Functions in Theory and in Practice$92537964
997   $aUNINA