000 03427nam a22005175i 4500
001 978-3-319-67873-3
003 DE-He213
005 20220801221308.0
007 cr nn 008mamaa
008 170927s2018 sz | s |||| 0|eng d
020 _a9783319678733
_9978-3-319-67873-3
024 7 _a10.1007/978-3-319-67873-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aNoghin, Vladimir D.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955200
245 1 0 _aReduction of the Pareto Set
_h[electronic resource] :
_bAn Axiomatic Approach /
_cby Vladimir D. Noghin.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIX, 232 p. 24 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v126
505 0 _aEdgeworth-Pareto Principle -- Pareto set reduction based on elementary information quantum -- Pareto set reduction based on general information quantum -- Pareto set reduction using elementary collections of information quanta -- Pareto set reduction based on collections of information quanta -- Completeness property of information quanta -- Pareto set reduction using fuzzy information -- Decision-making based on information quanta: Methodology and Practice.
520 _aThis book focuses on the issues of decision-making with several numerical criteria. It introduces an original general approach to solving multicriteria problems given quantitative information about the preference relation of a decision-maker. It considers the problems with crisp as well as fuzzy preference relations, accepting the four axioms of “reasonable choice”. Further, it defines the notion of an information quantum about the preference relation of a decision-maker and studies the reduction of the Pareto set using a finite collection of information quanta, demonstrating that the original approach yields a good approximation for the set of nondominated alternatives in a multicriteria problem. Lastly, it analyzes a possible combination of the axiomatic approach with other well-known methods. Intended for a wide range of professionals involved in solving multicriteria problems, including researchers, design engineers, product engineers, developers and analysts, the book is also a valuable resource for undergraduate and postgraduate students of mathematics, economics, and engineering.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
710 2 _aSpringerLink (Online service)
_955201
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319678726
776 0 8 _iPrinted edition:
_z9783319678740
776 0 8 _iPrinted edition:
_z9783319885018
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v126
_955202
856 4 0 _uhttps://doi.org/10.1007/978-3-319-67873-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79508
_d79508