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010   $a3-030-12927-6
024 7 $a10.1007/978-3-030-12927-9
035   $a(CKB)4100000007598398
035   $a(DE-He213)978-3-030-12927-9
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035   $a(PPN)243768729
035   $a(EXLCZ)994100000007598398
100   $a20190208d2020      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aInterval-Valued Methods in Classifications and Decisions$b[electronic resource] /$fby Urszula Bentkowska
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (XV, 163 p. 12 illus., 5 illus. in color.) 
225 1 $aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v378
311   $a3-030-12926-8 
327   $aFuzzy Sets and their Extensions -- Aggregation in Interval-valued Settings -- Decision Making using Interval-valued Aggregation -- Optimization Problem of k-NN classi?er in DNA Microarray Methods -- Interval-valued Methods in Medical Decision Support Systems.
330   $aThis book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators. It then presents applications such as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed algorithms to DNA microarray analysis and in medical decision support systems are shown. The book is intended not only as a timely report for the community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect information. .
410  0$aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v378
606   $aComputational intelligence
606   $aBioinformatics
606   $aMicroarrays
606   $aComputer simulation
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aMicroarrays$3https://scigraph.springernature.com/ontologies/product-market-codes/B12050
606   $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000
615  0$aComputational intelligence.
615  0$aBioinformatics.
615  0$aMicroarrays.
615  0$aComputer simulation.
615 14$aComputational Intelligence.
615 24$aComputational Biology/Bioinformatics.
615 24$aMicroarrays.
615 24$aSimulation and Modeling.
676   $a511.322
700   $aBentkowska$b Urszula$4aut$4http://id.loc.gov/vocabulary/relators/aut$01226701
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484851303321
996   $aInterval-Valued Methods in Classifications and Decisions$92848334
997   $aUNINA