… and hence, the improvement of prediction under uncertainty. To demonstrate the applicability
… , “A belief rule based expert system for datacenter PUE prediction under uncertainty,” IEEE …

… from sensor data under uncertainty. Hence, the use … Belief Rule-Based Expert System (BRBES)-based
predictive model to predict the Power Usage Effectiveness (PUE) of a data center. …

… under uncertainty. On the reasoning process of BRB, the ER algorithm is utilized to aggregate
belief rules… Yang, “A belief rule based expert system for predicting consumer preference in …

… In [11], for predicting datacenter PUE under uncertainty a system has been developed by
collecting the real world data from UK data center. In this paper, an optimal learning model has …

… In order to evaluate TIC in a reliable way, a Belief Rule Base (BRB) Expert System can be
… and their associated uncertainties. In this paper, a RESTful API-based BRB expert system is …

… These expert systems assist medical experts to understand and evaluate clinical findings …
based expert system using a belief rule base to predict the clinical severity prediction of COVID-…

… a Belief Rule-Based Expert System (BRBES)-based … model to predict the Power Usage
Effectiveness (PUE) of a data center. … belief rule based expert system to assess lung cancer under …

… This prediction result, along with eight other significant risk factors associated with COVID-19
patients, is analyzed with a knowledge-driven belief rule-based expert system which forms …

… The accuracy of PUE prediction by BRBES has been validated with realworld data and
compared … Hence, a new learning algorithm is required to predict flood under uncertainty using …

… propose an expert system by integrating a Deep Learning method with a Belief Rule Base
(known … activation weights that results in an accurate prediction of sentiment under uncertainty. …