Title :
Decision-making system on basis of web page for coal-mine
Author :
Wan Jianfeng ; Liu Junli ; Bi Wenyan ; Li Tongzhuo
Author_Institution :
Sch. of Mech. & Power Eng., Henan Polytech. Univ., Jiaozuo, China
Abstract :
In order to reduce the roof accidents, extend and communicate a great deal of valuable experience and technology in the field of coal mines and roadway supporting, this paper presents the research and development of a information platform, which includes mainly the decision-making of roadway supporting. After comparing the advantages and the disadvantages of three inference modes, case-based reasoning can be taken as the main decision-making method, according to the feature of the relations between roadway supporting and correlative factors. In fact, these factors cannot be expressed by a theoretical model at all. In the process of implementation, the standard of the degree of similarity (namely knowledge) is formed by the method of weighting fuzzy logic. The inference engine requests database by loading the standard of the degree of similarity (this is the process of inference), and returns final conclusions. The relative decision-making interpretations are shown through the interpreter.
Keywords :
Web sites; accidents; case-based reasoning; coal; decision making; mining; roofs; Web page; case-based reasoning; coal mine; correlative factors; decision making system; inference engine; information platform; roadway supporting; roof accidents; valuable experience; weighting fuzzy logic; Accidents; Coal; Coal mining; Cognition; Decision making; Fuzzy logic; Knowledge based systems; Application Decision-Making; database application technology; roadway supporting;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010826