Hypercubes and Compromise Values for Cooperative Fuzzy Games

AMS classification: 90D12; 03E72;cooperative games;Compromise values;Core;Fuzzy coalitions;Fuzzy games;Hypercubes;Path solutions;Weber set

Hypercubes and compromise values for cooperative fuzzy games

90D12;03E72cooperative games

Compromise in cooperative game and the VIKOR method

Five approaches in conflict resolution are distinguished, based on cooperativeness and aggressiveness in resolving conflict. Compromise based on cooperativeness is emphasized here as a solution in conflict resolution. Cooperative game theory oriented towards aiding the conflict resolution is considered and the compromise value for TU(transferable utility)-game is presented. The method VIKOR could be applied to determine compromise solution of a multicriteria decision making problem with noncommensurable and conflicting criteria. Compromise is considered as an intermediate state between conflicting objectives or criteria reached by mutual concession. The applicability of the cooperative game theory and the VIKOR method for conflict resolution is illustrated

The Consistent Value: Potentializability and Equivalent Relations on Fuzzy Games

Based on several equivalent relations, this paper is aimed to axiomatize the family of all solutions that admit a potential in the framework of fuzzy transferable-utility (TU) games. Further, several axiomatic results of the consistent value are also proposed by applying these equivalent relations

A Region-Based Multi-Issue Negotiation Protocol For Non-Monotonic Utility Spaces

Ministerio de Educación y Cienci

Pattern Recognition

A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks. The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition