The belief-rule-base (BRB) inference methodology using the evidential reasoning (ER) approach is widely used in different fields, such as fault diagnosis, system identification, and decision analysis. However, calculation characteristic of conventional rule activation weight makes have zero problem. difficulty constructing partial derivatives restricts optimization parameters gradient method. H...

Advancement and application of rule-based expert systems have been a key research area in explainable artificial intelligence (XAI) because the rule-base is one most common natural frameworks for knowledge representation. The present work aims to design novel system, called Cumulative Belief Rule-Based System (CBRBS), by establishing efficient modeling inference procedures, where procedure incl...

To address the issue of rule premise combination explosion in construction traditional complete conjunctive belief base (BRB), this paper introduces an orthogonal design method to reduce BRB. The reasoning based on reduced BRB is designed with help conversion technology from disjunctive Finally, operational mission effectiveness evaluation taken as example verify proposed method. results show t...

Learning emotion assessment is a non-negligible step in analyzing learners’ cognitive processing. Data are the basis of learning assessment. However, existing models cannot balance model accuracy and interpretability well due to influence uncertainty process data collection parameter errors. Given above problems, new based on evidence reasoning belief rule base (E-BRB) proposed this paper. Firs...

Among the computational intelligence techniques employed to solve classification problems, the fuzzy rule-based classification system (FRBCS) is a popular tool capable of building a linguistic model interpretable to users. However, it may face lack of accuracy in some complex applications, by the fact that the inflexibility of the concept of the linguistic variable imposes hard restrictions on ...

<p><span>An intelligent belief rule base (BRB) based system with internet of things (IoT) integration can evaluate earthquake prediction (EP). This ingenious and rational predict by aggregating changed animal behavior combined environmental chemical changes which are taken as real time inputs from sensors. The BRB expert blends knowledge demonstration criterion like attribute weight...