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001 978-3-540-68998-0
003 DE-He213
005 20161121231201.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540689980
_9978-3-540-68998-0
024 7 _a10.1007/978-3-540-68998-0
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aGeorgescu, Irina.
_eauthor.
245 1 0 _aFuzzy Choice Functions
_h[electronic resource] :
_bA Revealed Preference Approach /
_cby Irina Georgescu.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aIX, 279 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v214
505 0 _aPreliminaries -- Classical Revealed Preference Theory -- Fuzzy Preference Relations -- Fuzzy Choice Functions -- Fuzzy Revealed Preference and Consistency Conditions -- General Results -- Degree of Dominance -- Similarity and Rationality Indicators for Fuzzy Choice Functions -- Applications -- Concluding Remarks.
520 _aThe foundations of revealed preference theory for a competitive consumer were laid by Samuelson in 1938. Later this theory was axiomatically developed by Arrow, Sen, Suzumura and other economists into the theory of choice functions. This book extends the theory of revealed preference to fuzzy choice functions and provides applications to multicriteria decision making problems. The main topics of revealed preference theory (rationality, revealed preference and congruence axioms, consistency conditions) are treated in the framework of fuzzy choice functions. New topics, such as the degree of dominance and similarity of vague choices, are developed. The results obtained are applied to economic problems where partial information and human subjectivity involve vague choices and vague preferences. The book contains a number of new results achieved by the author. Even though the text is reasonably self-contained, previous knowledge of revealed preference and fuzzy set theory is helpful for the reader. Social choice theorists and computer scientists will find in this monograph stimulating material for further research and concrete applications.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540689973
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v214
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-68998-0
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c509787
_d509787