IoT Resources Ranking: Decision Making Under Uncertainty Combining Machine Learning and Fuzzy Logic
IoT Resources Ranking: Decision Making Under Uncertainty Combining Machine Learning and Fuzzy Logic
Renato Dilli,Amanda Argou,R. Reiser,A. Yamin
2018 · DOI: 10.1007/978-3-319-95312-0_11
Annual Conference on the North American Fuzzy Information Processing Society · 8 Citations
TLDR
A proposal to classify and select the most appropriate resource for the client’s request is presented, applying fuzzy logic to address uncertainties in the definition of ideal weights for QoS attributes, and aggregating machine learning to the pre-classification of EXEHDA middleware resources, in order to reduce the computational cost generated by MCDA algorithms.