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- W222601167 abstract "Many public domain Internet resources can be annotated to turn them into learning resources that can be used as assets in e-Learning environments. To do this, we need to asses the quality of those resources and, implicitly, of their sources. In this paper, we present a model for assessing the reputation of those information sources by aggregating evaluations made by consumers through the use of fuzzy linguistic aggregation operators, and provide some insights about how the evaluation system can be fine-tuned based on well-known AI techniques and fuzzy quantified queries." @default.
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- W222601167 date "2000-01-01" @default.
- W222601167 modified "2023-09-23" @default.
- W222601167 title "A Fuzzy Aggregation-Based Reputation Model for e- Learning Exploitation of Public Domain Resources (draft)." @default.
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