Arrow logic and multi-modal logic
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Logical Approach to Fuzzy Data Analysis
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Decision Logics for Knowledge Representation in Data Mining
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
Rough Set Analysis of Preference-Ordered Data
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
A Generalized Decision Logic in Interval-Set-Valued Information Tables
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Matrix representation of belief states: an algebraic semantics for belief logics
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A Possibilistic Decision Logic with Applications
Fundamenta Informaticae
Arrow decision logic for relational information systems
Transactions on Rough Sets V
An update logic for information systems
International Journal of Approximate Reasoning
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In this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables based on rough set theory, while arrow logic is the basic modal logic of arrows. The semantic models of ADL are pairwise comparison tables, which are useful in rough set-based multicriteria analysis. Consequently, ADL can represent preference knowledge induced from multicriteria decision tables.