Título: Research on bridge cranes Energy-saving index reduction based on rough set theory
Autores: Ye, Wei
Tong, Yifei
Li, Dongbo
Li, Xiangdong
Yuan, Xucheng
Fecha: 2013-07-03
Publicador: TELKOMNIKA: Indonesian journal of electrical engineering
Fuente:
Tipo: info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Tema: Bridge Crane, Rough Set , Attribute Reduction, Energy-saving assessment
Descripción: Bridge crane is one of the most widely used cranes in our country, which is indispensable equipment for material conveying in the modern production. The most important indicator of crane performances is energysaving. So it is of importance to research on the bridge cranes energysaving assessment. Thus the establishment of assessment index system is a necessary task. Rough set theory is applied widely for researching on incomplete and uncertain information processing. Through reducing the  properties by rough set theory, redundant properties are removed and an optimized index assessment system can be obtained.In this paper,establishing  the index system of the bridge crane based on  the full life cycle of the bridge crane firstly. Secondly,defining the decision attribute and the condition attributes. Thirdly,using rough set theory to reduce  the index system of the bridge crane.Finally,an optimized index assessment system of the bridge can be obtained. The research lays the foundation for solving weight for the next step.
Idioma: Inglés