Genetic fuzzy discretization with adaptive intervals for classification problems
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Fuzzy Metagraph and Its Combination with the Indexing Approach in Rule-Based Systems
IEEE Transactions on Knowledge and Data Engineering
Feature Selection in Genetic Fuzzy Discretization for the Pattern Classification Problems
IEICE - Transactions on Information and Systems
Hypergraph with sampling for image retrieval
Pattern Recognition
Intuitionistic fuzzy hypergraphs with applications
Information Sciences: an International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.00 |
This paper extends the work of H. Lee-Kwang and L.M. Lee (1995) to present the concept of the interval-valued fuzzy hypergraph. In the interval-valued fuzzy hypergraph, the concepts of the dual interval-valued fuzzy hypergraph, the crisp-valued α-cut hypergraph, and the interval-valued [α1,α2 ]-cut at β level hypergraph are developed, where α∈ [0, 1], 0⩽α1⩽α2⩽1, and β∈ [0, 1]. We also use some examples to show that the proposed concepts are useful for the analysis and fuzzy partition of a system