Generalized metarationalities in the graph model for conflict resolution
Discrete Applied Mathematics - Special issue: Discrete algorithms and optimization, in honor of professor Toshihide Ibaraki at his retirement from Kyoto University
Trust and cooperation from a fuzzy perspective
Mathematics and Computers in Simulation
Multiple levels of preference in interactive strategic decisions
Discrete Applied Mathematics
Matrix representation of solution concepts in multiple- decision-maker graph models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Perceptual stability analysis of a graph model system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Strategic analysis of the conflict over Iran's nuclear program
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Representations of status quo analysis in the graph model for strength of preference
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An algebraic approach to calculating stabilities in the graph model with strength of preference
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Expert Systems with Applications: An International Journal
Complexity of trails, paths and circuits in arc-colored digraphs
Discrete Applied Mathematics
Hi-index | 0.00 |
For pt.I see ibid., p.42-55 (2003). The development of a comprehensive decision support system, GMCR II, for the systematic study of real-world interactive decision problems is presented. The companion paper (Part I), discusses how GMCR II elicits, stores, and manages conflict models; here (Part II), the focus is on GMCR IIs analysis and output interpretation subsystems. Specifically, this paper describes the powerful and efficient analysis engine contained in GMCR II, its informative output presentation and interpretation facilities, and a number of follow-up analyses. Furthermore, an illustrative case study is used to demonstrate how GMCR II can be conveniently applied in practice.