Searched over 200M research papers for "three-way decision"
10 papers analyzed
These studies suggest that three-way decision models improve decision-making efficiency and effectiveness across various domains by incorporating order information, multi-granularity, multi-criteria decision-making, probabilistic approaches, psychological preferences, and dynamic data updates.
20 papers analyzed
Three-way decision theory, originating from rough set theory, provides a framework for decision-making by dividing decisions into three regions: acceptance, rejection, and uncertainty. This approach has been extended and applied in various contexts, including ordered decision systems, multi-criteria decision-making, and probabilistic rough set models.
Three-way Decision Spaces and Extensions:
Ordered Three-way Decisions:
Multi-criteria Decision-making (MCDM):
Probabilistic and Set-theoretic Models:
Psychological and Group Decision-making:
Dynamic and Incremental Updates:
Three-way decision theory offers a versatile framework for decision-making by dividing decisions into acceptance, rejection, and uncertainty regions. This approach has been extended to various domains, including ordered decision systems, multi-criteria decision-making, and probabilistic models. The integration of psychological factors and dynamic updating mechanisms further enhances the applicability and effectiveness of three-way decisions in complex and uncertain environments.
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