000 | 03107nam a22004815i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-3-540-68998-0 _2doi |
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050 | 4 | _aTA329-348 | |
050 | 4 | _aTA640-643 | |
072 | 7 |
_aTBJ _2bicssc |
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072 | 7 |
_aMAT003000 _2bisacsh |
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082 | 0 | 4 |
_a519 _223 |
100 | 1 |
_aGeorgescu, Irina. _eauthor. |
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245 | 1 | 0 |
_aFuzzy Choice Functions _h[electronic resource] : _bA Revealed Preference Approach / _cby Irina Georgescu. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
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300 |
_aIX, 279 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v214 |
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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 |