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For expressing the fuzziness and uncertainty of domain knowledge, realizing the semantic retrieval of fuzzy information, this paper produces an extended fuzzy ontology model and proposes a kind of semantic query expansion technology which can implement semantic information query based on the property values and the relationships of fuzzy concepts. The extended fuzzy ontology provides appropriate support...
The decision trees and their variants recently have been proposed. All trees used are fixed M-ary tree-structured, such that the training samples in each node must be artificially divided into a fixed number of branches. This study proposes a fuzzy variable-branch decision tree (FVBDT) based on the fuzzy genetic algorithm (FGA). The FGA automatically searches for the proper number of branches of each...
Fuzzy C-means algorithm (FCM) is the most widely used fuzzy partitioning method for data cluster. The K-means algorithm implements fast, however the result is less accurate clustering. In this paper describes a hybridized clustering approach for image segmentation using particle swarm optimization to improve the classical FCM algorithm. The experimental results show that the hybridized clustering...
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