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Fuzzy Cooperative Games: Cooperation with Vague Expectations by Milan Mares at Abbey's Bookshop,
Fuzzy Cooperative Games: Cooperation with Vague Expectations
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Milan Mares

Fuzzy Cooperative Games

Cooperation with Vague Expectations

Milan Mares

$251.95   $201.58

Hardback

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English
Physica-Verlag GmbH & Co
06 June 2001
Econometrics; Fuzzy set theory; Computer science
Series: Studies in Fuzziness and Soft Computing
The book deals with the mathematical model of coalitional cooperation based on vague knowledge of its expected outcomes. This reality is described by the model of coalitional game (with or without transferable utility) in which the expected pay-offs are represented by fuzzy quantities or by fuzzy sets of real-valued vectors. This approach to the fuzziness in the bargaining is new and completes the existing literature on this topic by alternative views. The presentation does not demand deeper than elementary knowledge of linear algebra and some related topics. The book can be used as an introduction to the subject presenting basic concepts and results.
By:  
Imprint:   Physica-Verlag GmbH & Co
Country of Publication:   Germany
Edition:   2001 ed.
Volume:   72
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 12mm
Weight:   1.000kg
ISBN:   9783790813920
ISBN 10:   3790813923
Series:   Studies in Fuzziness and Soft Computing
Pages:   177
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
1 Introduction.- 2 Fuzzy Quantities.- 3 Deterministic Coalition Games.- 4 Vagueness and Its Processing.- 5 Fuzzy Additivity and Related Topics.- 6 Fuzzy Core and Effective Coalitions.- 7 Fuzzy Convexity.- 8 Fuzzy Balancedness.- 9 Fuzzy Shapley Value.- 10 Fuzzy Superoptimum.- 11 Fuzzy and Imputational Additivity-Like Relations.- 12 Fuzzy Core and Effectivity in Games Without Side-Payments.- 13 Linear Coalition Games.- 14 A Modified Model of Domination and Superoptimum.- 15 Strategic Background of Fuzzy Cooperation.- 16 Generation of Fuzzy Quantities.- V Concluding Remarks.- References.

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