Qualitative probabilistic networks (QPNs) combine the conditional independence
assumptions of Bayesian networks with the qualitative properties of positive and negative …

贝叶斯网是不确定性知识表示和推理的有效框架, 定性概率网是贝叶斯网的抽象表示,
它简化了不确定性知识的表示, 加速了不确定性知识的推理. 近年来, 定性概率网成为了不确定 …

When items are classified according to whether they have more or less of a characteristic,
the scale used is referred to as an ordinal scale. The main characteristic of the ordinal scale …

Online automatic fault diagnosis in industrial systems is essential for guaranteeing safe,
reliable and efficient operations. However, difficulties associated with computational …

Qualitative probabilistic networks (QPNs) combine the conditional independence
assumptions of Bayesian networks with the qualitative properties of positive and negative …

Qualitative probabilistic networks (QPNs) are the qualitative abstractions of probabilistic
networks or Bayesian networks, summarising probabilistic influences by qualitative signs …

In the era of big data, the fusion of uncertain information from different data sources is a
crucial issue in various applications. In this paper, a sign fusion method of multiple …

Abstract Enhanced Qualitative Probabilistic Network (QPN) is to make qualitative network
more applicable by reducing ambiguity in a qualitative way. To reduce ambiguity in the basic …

In time-series environments, uncertain knowledge among variables in a time slice can be
represented and modeled by a Bayesian network (BN). In this paper, we are to achieve the …

The integration of uncertain information from different time sources is a crucial issue in
various applications. In this paper, we propose an integration method of multiple Temporal …