Ordering, distance and closeness of fuzzy sets
Fuzzy Sets and Systems - Special issue on fuzzy data analysis
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Intelligent decision support methods: the science of knowledge work
Intelligent decision support methods: the science of knowledge work
Fuzzy aggregation of numerical preferences
Fuzzy sets in decision analysis, operations research and statistics
Dynamic fuzzy data analysis based on similarity between functions
Fuzzy Sets and Systems
Digital Image Processing
Granular computing in neural networks
Granular computing
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Similarity measures in fuzzy rule base simplification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On elicitation of membership functions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Theoretical and linguistic aspects of the fuzzy logic controller
Automatica (Journal of IFAC)
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Application of a fuzzy classification technique in computer grading of fish products
IEEE Transactions on Fuzzy Systems
Robustness of fuzzy logic control for an uncertain dynamic system
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Improvements and critique on Sugeno's and Yasukawa's qualitative modeling
IEEE Transactions on Fuzzy Systems
Fuzzy descriptive models: an interactive framework of information granulation [ECG data]
IEEE Transactions on Fuzzy Systems
A fuzzy-logic-based approach to qualitative modeling
IEEE Transactions on Fuzzy Systems
Distance and similarity measures for fuzzy operators
Information Sciences: an International Journal
A novel document similarity measure based on earth mover's distance
Information Sciences: an International Journal
Fuzzy functions with support vector machines
Information Sciences: an International Journal
Information Sciences: an International Journal
Research on two different mathematical theories on control
Journal of Computational and Applied Mathematics
Gaussian case-based reasoning for business failure prediction with empirical data in China
Information Sciences: an International Journal
State fusion of fuzzy automata with application on target tracking
Computers & Mathematics with Applications
Loss and gain functions for CBR retrieval
Information Sciences: an International Journal
Introducing attribute risk for retrieval in case-based reasoning
Knowledge-Based Systems
Fuzzy automata system with application to target recognition based on image processing
Computers & Mathematics with Applications
Information Sciences: an International Journal
A granular neural network: Performance analysis and application to re-granulation
International Journal of Approximate Reasoning
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Fuzzy rulebases are an approximate representation of some interesting system. As such, they could potentially be used for indexing and searching candidate solutions in case-based reasoning (CBR) systems in a variety of application areas. However, there is currently no method for directly and efficiently determining the similarity between two rulebases, which is a necessary element of their use in any CBR system. We propose a method for measuring similarity between two linguistic fuzzy rulebases, based on the granular computing technique of linguistic gradients. The proposed similarity measure is based on comparing the linguistic structure of two rulebases, using the linguistic gradient operator to reveal that structure. Our algorithm operates at the level of linguistic rulebases, rather than a defuzzified reasoning surface, and thus belongs to the Computing-with-Words paradigm. In a validation experiment, we compare our new method with the root-mean-square difference between reasoning surfaces for 603 pairs of fuzzy rulebases drawn from the literature. A Spearman correlation analysis shows that our new linguistic method is consistent with the numerical RMS results, while being theoretically and empirically faster than computing an accurate RMS difference.