000			03939nam a22004815i 4500
001			u375616
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007			cr nn 008mamaa
008			110203s2011 gw | s |||| 0|eng d
020			_a9783642179105 _9978-3-642-17910-5
040			_cMX-MeUAM
050		4	_aTA329-348
050		4	_aTA640-643
082	0	4	_a519 _223
100	1		_aYager, Ronald R. _eeditor.
245	1	0	_aRecent Developments in the Ordered Weighted Averaging Operators: Theory and Practice _h[recurso electrónico] / _cedited by Ronald R. Yager, Janusz Kacprzyk, Gleb Beliakov.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXIV, 298 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 ; _v265
505	0		_aPart I: Methods -- OWA Operators and Nonadditive Integrals -- The WOWA Operator: A Review --   Induced Ordered Weighted Averaging Operators -- A review of the OWA determination methods: classification and some extensions -- Spezification of the OWA Operators for Aggregating Uncertain Information with Uncertain Weights -- A majority guided aggregation operator in group decision making Generating OWA Weights from Individual Assessments -- The role of the OWA operators as a unification tool for the representation of collective choice sets -- Applying linguistic OWA operators in consensus models under unbalanced linguistic information -- Part II: Applications -- Fusion Strategies based on the OWA Operator in Environmental Applications -- Decision Making with Dempster-Shafer Theory using Fuzzy Induced Aggregation Operators -- Two methods for image compression/reconstruction using OWA operators -- OWA-based fuzzy m-ary adjacency relations in Social Network Analysis -- Soft Computing in Water Resources Management by Using OWA Operator -- Combination of Similarity Measures in Ontology Matching using the OWA Operator.
520			_aThis volume presents the state of the art of new developments, and some interesting and relevant applications of the OWA (ordered weighted averaging) operators. The OWA operators were introduced in the early 1980s by Ronald R. Yager as a conceptually and numerically simple, easily implementable, yet extremely powerful general aggregation operator. That simplicity,  generality and implementability of the OWA operators, combined with their intuitive appeal, have triggered much research both in the foundations and extensions of the OWA operators,  and in their applications to a wide variety of problems in various fields of science and technology.   Part I: Methods includes papers on theoretical foundations of OWA operators and their extensions.The papers in Part II: Applications show some more relevant applications of the OWA operators, mostly means, as powerful yet general aggregation operators. The application areas are exemplified by environmental modeling, social networks, image analysis, financial decision making and water resource management.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
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		_aKacprzyk, Janusz. _eeditor.
700	1		_aBeliakov, Gleb. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642179099
830		0	_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v265
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-17910-5
596			_a19
942			_cLIBRO_ELEC
999			_c203496 _d203496