000 03017nam a22005535i 4500
001 978-3-540-30118-9
003 DE-He213
005 20240423132553.0
007 cr nn 008mamaa
008 121227s2004 gw | s |||| 0|eng d
020 _a9783540301189
_9978-3-540-30118-9
024 7 _a10.1007/b99869
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aCoevolutionary Fuzzy Modeling
_h[electronic resource] /
_cedited by Carlos Andrés Peña-Reyes.
250 _a1st ed. 2004.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2004.
300 _aXIV, 134 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v3204
505 0 _a1 Introduction -- 2 Evolutionary Fuzzy Modeling -- 3 Coevolutionary Fuzzy Modeling -- 4 Breast Cancer Diagnosis by Fuzzy CoCo -- 5 Analyzing Fuzzy CoCo -- 6 Extensions of the Methodology -- 7 Conclusions and Future Work.
520 _aBuilding on fuzzy logic and evolutionary computing, this book introduces fuzzy cooperative coevolution as a novel approach to systems design, conductive to explaining human decision process. Fuzzy cooperative coevolution is a methodology for constructing systems able to accurately predict the outcome of a decision-making process, while providing an understandable explanation of the underlying reasoning. The central contribution of this work is the use of an advanced evolutionary technique, cooperative coevolution, for dealing with the simultaneous design of connective and operational parameters. Cooperative coevolution overcomes several limitations exhibited by other standard evolutionary approaches. The applicability of fuzzy cooperative coevolution is validated by modeling the decision processes of three real-world problems, an iris data benchmark problem and two problems from breast cancer diagnosis.
650 0 _aComputer science.
650 0 _aMachine theory.
650 0 _aArtificial intelligence.
650 1 4 _aTheory of Computation.
650 2 4 _aFormal Languages and Automata Theory.
650 2 4 _aArtificial Intelligence.
700 1 _aPeña-Reyes, Carlos Andrés.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540229940
776 0 8 _iPrinted edition:
_z9783662171622
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v3204
856 4 0 _uhttps://doi.org/10.1007/b99869
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
912 _aZDB-2-BAE
942 _cSPRINGER
999 _c189237
_d189237