000 04742nam a22005175i 4500
001 978-3-540-76973-6
003 DE-He213
005 20161121230545.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540769736
_9978-3-540-76973-6
024 7 _a10.1007/978-3-540-76973-6
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aGranular Computing: At the Junction of Rough Sets and Fuzzy Sets
_h[electronic resource] /
_cedited by Rafael Bello, Rafael Falcón, Witold Pedrycz, Janusz Kacprzyk.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXVI, 335 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 ;
_v224
505 0 _aFuzzy and Rough Sets’ Theoretical and Practical Aspects -- Missing Value Semantics and Absent Value Semantics for Incomplete Information in Object-Oriented Rough Set Models -- Similarities for Crisp and Fuzzy Probabilistic Expert Systems -- An Efficient Image Retrieval System Using Ordered Weighted Aggregation -- Entropy and Co–entropy of Partitions and Coverings with Applications to Roughness Theory -- Patterns of Collaborations in Rough Set Research -- Visualization of Local Dependencies of Possibilistic Network Structures -- Two Fuzzy-Set Models for the Semantics of Linguistic Negations -- A Coevolutionary Approach to Solve Fuzzy Games -- Rough Set Approach to Video Deinterlacing Systems -- Fuzzy and Rough Sets in Machine Learning and Data Mining -- Learning Membership Functions for an Associative Fuzzy Neural Network -- An Incremental Clustering Method and Its Application in Online Fuzzy Modeling -- Fuzzy Approach of Synonymy and Polysemy for Information Retrieval -- Rough Set Theory Measures for Quality Assessment of a Training Set -- A Machine Learning Investigation of a Beta-Carotenoid Dataset -- Rough Text Assisting Text Mining: Focus on Document Clustering Validity -- Construction of Rough Set-Based Classifiers for Predicting HIV Resistance to Nucleoside Reverse Transcriptase Inhibitors -- Fuzzy and Rough Sets in Decision-Making -- Rough Set Approach to Information Systems with Interval Decision Values in Evaluation Problems -- Fuzzy Rule-Based Direction-Oriented Resampling Algorithm in High Definition Display -- RSGUI with Reverse Prediction Algorithm -- An Algorithm for the Shortest Path Problem on a Network with Fuzzy Parameters Applied to a Tourist Problem -- PID Control with Fuzzy Adaptation of a Metallurgical Furnace.
520 _aSince their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements. In the last few years the widespread utilization of fuzzy and rough sets as granulation sources has contributed to lay both methodologies in a privileged position within Granular Computing, thus giving rise to a sort a modeling which is far closer to the way human beings perceive their environment – via granulated knowledge. This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba. You will therefore find valuable contributions both in the theoretical field as in several application domains such as intelligent control, data analysis, decision making and machine learning, just to name a few. Together, they will catch you up with the huge potential of the aforementioned methodologies.
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).
700 1 _aBello, Rafael.
_eeditor.
700 1 _aFalcón, Rafael.
_eeditor.
700 1 _aPedrycz, Witold.
_eeditor.
700 1 _aKacprzyk, Janusz.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540769729
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v224
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-76973-6
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c500540
_d500540