Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases
Information Sciences: an International Journal
Reasoning conditions on Ko´czy's interpolative reasoning method in sparse fuzzy rule bases
Fuzzy Sets and Systems
A new interpolative reasoning method in sparse rule-based systems
Fuzzy Sets and Systems
A New Sparse Rule-Based Fuzzy Reasoning Method
HIS '04 Proceedings of the Fourth International Conference on Hybrid Intelligent Systems
A new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Size reduction by interpolation in fuzzy rule bases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Comprehensive analysis of a new fuzzy rule interpolation method
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Fuzzy interpolative reasoning via scale and move transformations
IEEE Transactions on Fuzzy Systems
A fuzzy modeling method via Enhanced Objective Cluster Analysis for designing TSK model
Expert Systems with Applications: An International Journal
An extended fuzzy logic system for uncertainty modelling
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems
Expert Systems with Applications: An International Journal
Fuzzy rule interpolation based on the ratio of fuzziness of interval type-2 fuzzy sets
Expert Systems with Applications: An International Journal
Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on the slopes of fuzzy sets
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Fuzzy interpolative reasoning is an important research topic of sparse fuzzy rule-based systems. In recent years, some methods have been presented for dealing with fuzzy interpolative reasoning. However, the involving fuzzy sets appearing in the antecedents of fuzzy rules of the existing fuzzy interpolative reasoning methods must be normal and non-overlapping. Moreover, the reasoning conclusions of the existing fuzzy interpolative reasoning methods sometimes become abnormal fuzzy sets. In this paper, in order to overcome the drawbacks of the existing fuzzy interpolative reasoning methods, we present a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on the ranking values of fuzzy sets. The proposed fuzzy interpolative reasoning method can handle the situation of non-normal and overlapping fuzzy sets appearing in the antecedents of fuzzy rules. It can overcome the drawbacks of the existing fuzzy interpolative reasoning methods in sparse fuzzy rule-based systems.