Fuzzy cooperative games
Subtitle: cooperation with vague expectations
By: Milan Mareš
Series: Studies in fuzziness and soft computing -- v. 72; Studies in fuzziness and soft computing -- v. 72.
Published: 2001
Language: eng
Number of pages: 177
ISBN-13: 9783790818208; 9783790824896
Subjects: Economics/Management Science; Operation Research/Decision Theory; Onderhandelen; Fuzzy sets; Artificial Intelligence (incl. Robotics); Game Theory/Mathematical Methods; Speltheorie; Game theory
Description: 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.
Notes: Includes bibliographical references (pages 173-175) and index.

Online resource; title from PDF title page (SpringerLink, viewed February 25, 2014).
Table of contents: title: Preliminaries; title: Introduction; title: Fuzzy quantities; title: Deterministic coalition games; title: Vagueness and its processing; title: Fuzzy bargaining with side-payments; title: Fuzzy additivity and related topics; title: Fuzzy core and effective coalitions; title: Fuzzy convexity; title: Fuzzy balancedness; title: Fuzzy Shapley value; title: Fuzzy bargaining without side-payments; title: Fuzzy superoptimum; title: Fuzzy and imputational additivity-like relations; title: Fuzzy core and effectivity in games without side-payments; title: Alternative approaches; title: Linear coalition games; title: A modified model of domination and superoptimum; title: Strategic background of fuzzy cooperation; title: Generation of fuzzy quantities; title: Concluding remarks.