The paper presents the application of a Technical Mapping and tacit knowledge elicitation in
industry in order to promote the modeling of tacit knowledge to explicit and represent it in the …

ABSTRACT The Rough Set (RS) theory can be considered as a tool to reduce the input
dimensionality and to deal with vagueness and uncertainty in datasets. Over the years, there …

Pull control systems are now widely used in many types of production systems. For those
based on cards, determining their number is an important issue. When the system is …

摘要现有知识发现研究难以兼顾不同领域知识的精准性与模糊性, 也缺乏描述和定义模糊本体的
语言工具, 本文从知识模糊性角度出发, 提出一种基于OWL (ontology web language) …

This paper presents a Petri net model for autonomous tracking of chemical plumes
developed in both diffusive and turbulent airflow environments. It has been challenging to …

This paper presents a distributed genetic algorithm for the discovery of classification rules.
Population is contained in the form of interconnected demes. The local selection and …

Decision tree models have earned a special status in predictive modeling since these are
considered comprehensible for human analysis and insight. Classification and Regression …

The voluminous amount of data stored in databases contains hidden knowledge which
could be valuable to improve decision making process of any organization. As it is not …

ABSTRACT A majority of contribution in the domain of rule mining overemphasize on
maximizing the predictive accuracy of the discovered patterns. The user-oriented criteria …

Nature inspired algorithms have become popular for discovering classification rules due to
their ability to effectively handle large and complex search spaces. However, nature inspired …