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
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A comprehensive decision support system, GMCR II, is developed for the systematic study of real-world interactive decision problems. Model formulation is presented in Part I, and analysis and output interpretation in Part II. GMCR II is based upon existing and new research developments of the graph model for conflict resolution. In Part I, specially designed data structures and corresponding algorithms are implemented for generating and representing possible states, removing infeasible states, coalescing indistinguishable states, and specifying and storing allowable state transitions. Algorithms implementing different approaches to the elicitation of preferences over states enable GMCR II to construct and manage an efficient, flexible, and complete graph model of a strategic conflict.