On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
General and Efficient Multisplitting of Numerical Attributes
Machine Learning
On the notion of similarity in case based reasoning and fuzzy theory
Soft computing in case based reasoning
Reduction of fuzzy control rules by means of premise learning - method and case study
Fuzzy Sets and Systems - Fuzzy systems
Learning premises of fuzzy rules for knowledge acquisition in classification problems
Knowledge and Information Systems
Genetic Algorithms to Optimise CBR Retrieval
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Acquiring Customer Preferences from Return-Set Selections
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Soft Aggregation Methods in Case Based Reasoning
Applied Intelligence
The Explanatory Power of Symbolic Similarity in Case-Based Reasoning
Artificial Intelligence Review
Finding useful fuzzy concepts for pattern classification using genetic algorithm
Information Sciences: an International Journal
Construction of fuzzy knowledge bases incorporating feature selection
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Case-based reasoning foundations
The Knowledge Engineering Review
Fuzzy methods for case-based recommendation and decision support
Journal of Intelligent Information Systems
International Journal of Approximate Reasoning
Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
A Taxonomy of Similarity Mechanisms for Case-Based Reasoning
IEEE Transactions on Knowledge and Data Engineering
Using evolution programs to learn local similarity measures
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy set-based methods in instance-based reasoning
IEEE Transactions on Fuzzy Systems
Mamdani fuzzy system: universal approximator to a class of random processes
IEEE Transactions on Fuzzy Systems
A Relevance-Based Learning Model of Fuzzy Similarity Measures
IEEE Transactions on Fuzzy Systems
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The concept of similarity plays a fundamental role in case-based reasoning. However, the meaning of ''similarity'' can vary in situations and is largely domain dependent. This paper proposes a novel similarity model consisting of linguistic fuzzy rules as the knowledge container. We believe that fuzzy rules representation offers a more flexible means to express the knowledge and criteria for similarity assessment than traditional similarity metrics. The learning of fuzzy similarity rules is performed by exploiting the case base, which is utilized as a valuable resource with hidden knowledge for similarity learning. A sample of similarity is created from a pair of known cases in which the vicinity of case solutions reveals the similarity of case problems. We do pair-wise comparisons of cases in the case base to derive adequate training examples for learning fuzzy similarity rules. The empirical studies have demonstrated that the proposed approach is capable of discovering fuzzy similarity knowledge from a rather low number of cases, giving rise to the competence of CBR systems to work on a small case library.