000 | 02915nam a2200469 i 4500 | ||
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001 | 6267317 | ||
003 | IEEE | ||
005 | 20220712204628.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151223s2001 maua ob 001 eng d | ||
020 |
_z9780262528740 _qprint |
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020 |
_a9780262256773 _qebook |
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020 |
_z0262256770 _qelectronic |
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035 | _a(CaBNVSL)mat06267317 | ||
035 | _a(IDAMS)0b000064818b42db | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aQ339.25 _b.P37 2001eb |
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100 | 1 |
_aParsons, Simon, _eauthor. _922104 |
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245 | 1 | 0 |
_aQualitative methods for reasoning under uncertainty / _cSimon Parsons. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2001. |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2001] |
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300 |
_a1 PDF (xviii, 506 pages) : _billustrations. |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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504 | _aIncludes bibliographical references (p. [457]-497) and index. | ||
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aIn this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information. The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with abstractions such as interval values and information about how values change. The author does not invent completely new methods for reasoning under uncertainty but provides the means to create qualitative versions of existing methods. To illustrate this, he develops qualitative versions of probability theory, possibility theory, and the Dempster-Shafer theory of evidence.According to Parsons, these theories are best considered complementary rather than exclusive. Thus the book supports the contention that rather than search for the one best method to handle all imperfect information, one should use whichever method best fits the problem. This approach leads naturally to the use of several different methods in the solution of a single problem and to the complexity of integrating the results--a problem to which qualitative methods provide a solution. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/23/2015. | ||
650 | 0 |
_aUncertainty (Information theory) _98835 |
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650 | 0 |
_aQualitative reasoning. _922105 |
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650 | 7 |
_aCOMPUTERS _xExpert Systems. _2bisacsh _922106 |
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655 | 0 |
_aElectronic books. _93294 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _922107 |
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710 | 2 |
_aMIT Press, _epublisher. _922108 |
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776 | 0 | 8 |
_iPrint version _z9780262528740 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267317 |
942 | _cEBK | ||
999 |
_c72973 _d72973 |