000 03575nam a22004935i 4500
001 978-3-642-10728-3
003 DE-He213
005 20140220084529.0
007 cr nn 008mamaa
008 100301s2010 gw | s |||| 0|eng d
020 _a9783642107283
_9978-3-642-10728-3
024 7 _a10.1007/978-3-642-10728-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aBouchon-Meunier, Bernadette.
_eeditor.
245 1 0 _aFoundations of Reasoning under Uncertainty
_h[electronic resource] /
_cedited by Bernadette Bouchon-Meunier, Luis Magdalena, Manuel Ojeda-Aciego, José-Luis Verdegay, Ronald R. Yager.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _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 ;
_v249
505 0 _aLinear Fuzzy Regression Using Trapezoidal Fuzzy Intervals -- Fundamentals for Design and Construction of a Fuzzy Random Forest -- Mining Exception Rules -- Degrees of Truth, Ill-Known Sets and Contradiction -- Algorithms for Trapezoidal Approximations of Fuzzy Numbers Preserving the Expected Interval -- Possibilistic Similarity Measures -- Efficient Thresholded Tabulation for Fuzzy Query Answering -- Linguistic Summaries of Time Series: On Some Additional Data Independent Quality Criteria -- Preference Modelling Using the Level-Dependent Choquet Integral with Respect to ?ukasiewicz Filters -- Majority Rules Generated by Mixture Operators -- Belief Function Correction Mechanisms -- A Comparison of Conditional Coherence Concepts for Finite Spaces -- On Evidential Markov Chains.
520 _aThis volume draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Málaga, Spain, organized by the University of Málaga. The conference brought together some of the world’s leading experts in the study of uncertainty. Since its first edition, held in 1986, the focus of IPMU conferences has been on the development of foundations and technology needed for the construction of intelligent systems. Over the years, IPMU has grown steadily in visibility and importance, and has evolved into a leading conference in its field, embracing a wide variety of methodologies for dealing with uncertainty and imprecision, and this explains the unusually wide variety of concepts, methods and techniques which are discussed in the book. The growth in importance of IPMU reflects the fact that as we move further into the age of machine intelligence and mechanized decisionmaking, the issue of how to deal with uncertain information becomes an issue of paramount concern.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aMagdalena, Luis.
_eeditor.
700 1 _aOjeda-Aciego, Manuel.
_eeditor.
700 1 _aVerdegay, José-Luis.
_eeditor.
700 1 _aYager, Ronald R.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642107269
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v249
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-10728-3
912 _aZDB-2-ENG
999 _c111776
_d111776