000 03559nam a22005055i 4500
003 DE-He213
005 20191011093455.0
007 cr nn 008mamaa
008 100301s2008 au | s |||| 0|eng d
020 6 4 _a9783211854327
_9978-3-211-85432-7
024 8 7 _a10.1007/978-3-211-85432-7
_2doi
050 8 4 _aQA76.9.D35
072 8 7 _aUMB
_2bicssc
072 8 7 _aURY
_2bicssc
072 8 7 _aCOM031000
_2bisacsh
082 _a005.74
_223
100 8 1 _aRiccia, Giacomo.
_eeditor.
_996819
245 9 7 _aPreferences and Similarities
_h[electronic resource] /
_cedited by Giacomo Riccia, Didier Dubois, Rudolf Kruse, Hans-Joachim Lenz.
001 000058814
300 6 4 _aXII, 320 p.
_bonline resource.
490 8 1 _aCISM International Centre for Mechanical Sciences,
_x0254-1971 ;
_v504
505 8 0 _aSimilarity, Dominance, Fuzzy Logic and Efficiency -- Similarity of Fuzzy Sets and Dominance of Random Variables: a Quest for Transitivity -- A Logic-based View of Similarities and Preferences -- An overview of bipolar qualitative decision rules -- Uncertainty, Vagueness, Incompleteness, Truthlikeliness and Proximity -- Logical approaches to fuzzy similarity-based reasoning: an overview -- Logics of Similarity and their Dual Tableaux A Survey -- Proximities in Statistics: Similarity and Distance -- Similarity, Independence, Probability and Game Theory -- Similarity Relations and Independence Concepts -- Imprecision and Structure in Modelling Subjective Similarity -- Defensive Forecasting: How to Use Similarity to Make Forecasts That Pass Statistical Tests -- Argument-based Decision Making, Qualitative Preferences Reasoning, and Label Rankings -- Comparing decisions on the basis of a bipolar typology of arguments -- A Snapshot on Reasoning with Qualitative Preference Statements in AI -- Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants -- Constraints and Preferences: Modelling Frameworks and Multi-agent settings.
520 6 4 _aThe fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.
650 8 0 _aComputer science.
_996820
650 8 0 _aData structures (Computer science).
_96719
650 _aComputer Science.
_996821
650 _aData Structures, Cryptology and Information Theory.
_996822
650 _aOperations Research/Decision Theory.
_98575
700 8 1 _aDubois, Didier.
_eeditor.
_996823
700 8 1 _aKruse, Rudolf.
_eeditor.
_996824
700 8 1 _aLenz, Hans-Joachim.
_eeditor.
_996825
710 8 2 _aSpringerLink (Online service)
_996826
773 8 0 _tSpringer eBooks
776 _iPrinted edition:
_z9783211854310
830 8 0 _aCISM International Centre for Mechanical Sciences,
_x0254-1971 ;
_v504
_996827
856 _uhttp://dx.doi.org/10.1007/978-3-211-85432-7
_zde clik aquí para ver el libro electrónico
264 8 1 _aVienna :
_bSpringer Vienna,
_c2008.
336 6 4 _atext
_btxt
_2rdacontent
337 6 4 _acomputer
_bc
_2rdamedia
338 6 4 _aonline resource
_bcr
_2rdacarrier
347 6 4 _atext file
_bPDF
_2rda
516 6 4 _aZDB-2-SCS
999 _c58544
_d58544
942 _c05