Rough classification of patients after highly selective vagotomy for duodenal ulcer
International Journal of Man-Machine Studies
Translation of Decision Tables
ACM Computing Surveys (CSUR)
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Rough Set Framework for Data Mining of Propositional Default Rules
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
Rule Discovery from Databases with Decision Matrices
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
A New Version of Rough Set Exploration System
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Decision table programming and reliability
ICSE '76 Proceedings of the 2nd international conference on Software engineering
RRIA: a rough set and rule tree based incremental knowledge acquisition algorithm
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Practical Bilevel Optimization: Algorithms and Applications (Nonconvex Optimization and Its Applications)
Granule sets based bilevel decision model
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Hi-index | 0.00 |
Bilevel decision addresses the problem in which two levels of decision makers, each tries to optimize their individual objectives under constraints, act and react in an uncooperative, sequential manner. Such a bilevel optimization structure appears naturally in many aspects of planning, management and policy making. However, bilevel decision making may involve many uncertain factors in a real world problem. Therefore it is hard to determine the objective functions and constraints of the leader and the follower when build a bilevel decision model. To deal with this issue, this study explores the use of rule sets to format a bilevel decision problem by establishing a rule sets based model. After develop a method to construct a rule sets based bilevel model of a real-world problem, an example to illustrate the construction process is presented.