Ant algorithms for discrete optimization
Artificial Life
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A rough set approach to estimating the game value and the Shapley value from data
Fundamenta Informaticae
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Discovering Knowledge in Data: An Introduction to Data Mining
Discovering Knowledge in Data: An Introduction to Data Mining
Data Mining Methods and Models
Data Mining Methods and Models
Ant colony optimization theory: a survey
Theoretical Computer Science
An inquiry into anatomy of conflicts
Information Sciences: an International Journal
Complex Decision Systems and Conflicts Analysis Problem
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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The paper presents the process of taking global decisions on the basis of the knowledge of local decision systems involving the mutually complementary observations of objects which can be mutually contradictory. The authors suggest the organization of local decision systems into a multi-agent system with a hierarchical structure. The structure of multi-agent systems and the theoretical aspects of the organization of the system are presented. A density-based algorithm has been used in the process of taking global decisions. Furthermore the paper presents the results of experiments conducted using realistic data.