Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on interval type-2 fuzzy sets

Authors:
Shyi-Ming Chen;Li-Wei Lee
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 16
Cited 1

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
Fuzzy Interpolative Reasoning Using Interval Type-2 Fuzzy Sets

IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Probabilistic representation and approximate inference of type-2 fuzzy events in Bayesian networks with interval probability parameters

Expert Systems with Applications: An International Journal
Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets

Expert Systems with Applications: An International Journal
Temperature prediction based on fuzzy clustering and fuzzy rules interpolation techniques

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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
A generalized concept for fuzzy rule interpolation

IEEE Transactions on Fuzzy Systems
Fuzzy rule interpolation for multidimensional input spaces with applications: a case study

IEEE Transactions on Fuzzy Systems
Fuzzy interpolative reasoning via scale and move transformations

IEEE Transactions on Fuzzy Systems
Interpolation with function space representation of membership functions

IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple

IEEE Transactions on Fuzzy Systems
Fuzzy Interpolative Reasoning for Sparse Fuzzy-Rule-Based Systems Based on the Areas of Fuzzy Sets

IEEE Transactions on Fuzzy Systems
Fuzzy Interpolative Reasoning for Sparse Fuzzy Rule-Based Systems Based on -Cuts and Transformations Techniques

IEEE Transactions on Fuzzy Systems

Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on the slopes of fuzzy sets

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

Fuzzy rule interpolation is an important research topic of sparse fuzzy rule-based systems. In this paper, we present a new fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. By means of calculating the ranking values of the upper and the lower membership functions of interval type-2 fuzzy sets, we can deal with fuzzy interpolative reasoning in sparse fuzzy rule-based systems in a more flexible and more intelligent manner.