Fast discovery of association rules
Advances in knowledge discovery and data mining
Efficient mining of association rules using closed itemset lattices
Information Systems
Vivid Logic: Knowledge-Based Reasoning with Two Kinds of Negation
Vivid Logic: Knowledge-Based Reasoning with Two Kinds of Negation
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Formal Concept Analysis: Foundations and Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Decision Making based on Paraconsistent Annotated Logic
Proceedings of the 2005 conference on Advances in Logic Based Intelligent Systems: Selected Papers of LAPTEC 2005
Information systems as a reference discipline
MIS Quarterly
Paraconsistent artificial neural network: applicability in computer analysis of speech productions
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Intelligent paraconsistent logic controller and autonomous mobile robot emmy II
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
An intelligent safety verification based on a paraconsistent logic program
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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Involvement of decision support systems in the process of selecting optimal decisions in transport logistics requires preliminary estimation of cargo delivery quality. The number of delivery criteria, their ranking according to degree of importance, and correlations among these criteria play an important role in the process of decision making. For the elaboration of effective approaches to the above mentioned tasks in the transport logistics we propose use of an intelligent system that applies methods from formal concept analysis and paraconsistent annotated logic.