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In this paper, a novel fuzzy logic-based expansion approach considering the relevance score produced by different rank aggregation approaches is proposed. It is well known that different rank aggregation approaches yield different relevance scores for each term. The proposed fuzzy logic approach combines different weights of each term by using fuzzy rules to infer the weights of the additional query...
In this work, we discuss how the Lewinian model of experiential learning theory can be modeled in the framework of fuzzy logic. Fuzzy inference mechanism has been used to model the Lewinian model. Each stage of the Lewinian model has been modeled by appropriate step of a fuzzy inference mechanism.
In this paper, a fast learning methodology for neuro-fuzzy inference system (NFIS) referred to as meta-cognitive fuzzy extreme learning machine (McFELM) is proposed. It is based on the original OS-Fuzzy-ELM algorithm incorporating principles of human meta-cognition to make the learning more effective. McFELM has two components: the cognitive component and the meta-cognitive component. The cognitive...
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