Weighted fuzzy pattern matching
Fuzzy Sets and Systems - Mathematical Modelling
Instance-Based Learning Algorithms
Machine Learning
On the semantics of fuzzy logic
International Journal of Approximate Reasoning
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Refinements of the maximin approach to decision-making in a fuzzy environment
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Semantics of quotient operators in fuzzy relational databases
Fuzzy Sets and Systems
Communications of the ACM
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Similarity and compatibility in fuzzy set theory: assessment and applications
Similarity and compatibility in fuzzy set theory: assessment and applications
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Data Mining and Knowledge Discovery
IEEE Transactions on Knowledge and Data Engineering
Fuzzy Modelling of Case-Based Reasoning and Decision
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Flexibility and fuzzy case-based evaluation in querying: an illustration in an experimental setting
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
On the foundations of qualitative decision theory
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Fuzzy set-based methods in instance-based reasoning
IEEE Transactions on Fuzzy Systems
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
A collaborative recommender system based on probabilistic inference from fuzzy observations
Fuzzy Sets and Systems
A hybrid recommendation approach for a tourism system
Expert Systems with Applications: An International Journal
Fuzzy rule-based similarity model enables learning from small case bases
Applied Soft Computing
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The paper proposes two case-based methods for recommending decisions to users on the basis of information stored in a database. In both approaches, fuzzy sets and related (approximate) reasoning techniques are used for modeling user preferences and decision principles in a flexible manner. The first approach, case-based decision making, can principally be seen as a case-based counterpart to classical decision principles well-known from statistical decision theory. The second approach, called case-based elicitation, combines aspects from flexible querying of databases and case-based prediction. Roughly, imagine a user who aims at choosing an optimal alternative among a given set of options. The preferences with respect to these alternatives are formalized in terms of flexible constraints, the expression of which refers to cases stored in a database. As both types of decision support might provide useful tools for recommender systems, we also place the methods in a broader context and discuss the role of fuzzy set theory in some related fields.