000 03880nam a22004815i 4500
001 978-3-642-13935-2
003 DE-He213
005 20140220084540.0
007 cr nn 008mamaa
008 100720s2010 gw | s |||| 0|eng d
020 _a9783642139352
_9978-3-642-13935-2
024 7 _a10.1007/978-3-642-13935-2
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aLodwick, Weldon A.
_eeditor.
245 1 0 _aFuzzy Optimization
_h[electronic resource] :
_bRecent Advances and Applications /
_cedited by Weldon A. Lodwick, Janusz Kacprzyk.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _a533p. 15 illus. in color.
_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 ;
_v254
505 0 _aIntroductory Sections -- Fuzziness, Rationality, Optimality and Equilibrium in Decision and Economic Theories -- to Fuzzy and Possibilistic Optimization -- Basic Issues -- Aggregation Operators for Evaluating Alternatives -- Optimization and Aggregation Functions -- Chebyshev Approximation of Inconsistent Fuzzy Relational Equations with Max-T Composition -- Various Types of Fuzzy Optimization and Fuzzy Mathematical Programming Models -- A Survey of Fuzzy Convex Programming Models -- Approaches to Linear Programming Problems with Interactive Fuzzy Numbers -- Possibilistic Optimization Tasks with Mutually T-Related Parameters: Solution Methods and Comparative Analysis -- A Parametrized Model for Optimization with Mixed Fuzzy and Possibilistic Uncertainty -- On Solving Optimization Problems with Ordered Average Criteria and Constraints -- Fuzzy Dynamic Programming Problem for Extremal Fuzzy Dynamic System -- Vaguely Motivated Cooperation -- Fuzzy Network and Combinatorial Optimization -- Computing Min-Max Regret Solutions in Possibilistic Combinatorial Optimization Problems -- Stochastic Bottleneck Spanning Tree Problem on a Fuzzy Network -- The Use of Fuzzy Numbers in Practical Project Planning and Control -- Applications -- Ant Feature Selection Using Fuzzy Decision Functions -- Application of Fuzzy Theory to the Investment Decision Process -- Decision Making Techniques in Political Management -- Mathematical Approaches for Fuzzy Portfolio Selection Problems with Normal Mixture Distributions -- Fuzzy Random Redundancy Allocation Problems -- Reliable Biological Circuit Design Including Uncertain Kinetic Parameters -- Fuzzy Optimal Algorithms for Multiple Target Convergence -- Fuzzy Linear Programming in Practice: An Application to the Spanish Football League.
520 _aOptimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to to find a best possible option or solution. The volume is divided into a coupe of parts which present various aspects of fuzzy optimization, some related more general issues, and applications.
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.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642139345
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v254
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-13935-2
912 _aZDB-2-ENG
999 _c112368
_d112368