The relevance of multiple criteria decision-making/aiding is reinforced by the prominence of
these methods in a wide range of applications. Whether by solving problems with a single …

The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation
operator used in modern information fusion theory, which is suitable to aggregate numerical …

Abstract Machine learning (ML) models have been quite successful in predicting outcomes
in many applications. However, in some cases, domain experts might have a judgment …

Abstract Knowledge engineering often involves using the opinions of experts, and very
frequently of a group of experts. Experts often cooperate in creating a knowledge base that …

It is well-known that how to determine the weights of criteria is an important problem of
multicriteria decision making. To make further description of the aforementioned, in this …

This paper presents knowledge-based reinforcement learning (KB-RL) as a method that
combines a knowledge-based approach and a reinforcement learning (RL) technique into …

针对产生式规则推理方法存在的推理效率低, 知识获取困难以及难以用于多故障诊断等问题,
研究基于可拓规则推理的故障诊断方法. 首先将基元理论和产生式规则相结合 …

How to select the most desirable pattern (s) is often a crucial step for decision making
problem. By taking uncertainty as well as dynamic of database into consideration, in this …

Aimed at low inference efficiency, difficult knowledge acquisition and unsuitability for multi-
fault diagnosis in production rule reasoning method, the fault diagnosis method based on …

A rule-based system is prone to conflict as new knowledge every time will emerge and
indirectly must sign in to the knowledge base that is used by the system. A conflict occurred …