Paper Info
Title
An effective method to discover emerging chance in chance discovery
Abstract
In business or in daily life, people are always faced with various chances and challenges. How to discover an emerging chance from some possible chances for decision making is still a problem for human beings to solve. This paper presents an effective method to deal with this kind of problem. Based on domain experts' experiences, the possible factors influencing chances are obtained. And then the weight of each influencing factor is calculated. Finally, the grey relational grades of possible chances are obtained by grey relational model (GRM). We consider that the chance which has the biggest grey relational grade will be most likely to emerge in the future. A case study shows this method is effective to discover emerging chance in the dynamic change environment.
Year
DOI
Venue
2010
10.1109/COGINF.2010.5599832
IEEE ICCI
Keywords
Field
DocType
management of change,grey relational model,grey systems,dynamic change environment,human computer interaction,decision making,grey relational grades,analytic hierarchy process,emerging chance,chance discovery,relational model,search engines,internet,chromium,engines
Data science,Change management,Computer science,Effective method,Artificial intelligence,Relational model,Analytic hierarchy process,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4244-8041-8
2
0.44
References 
Authors
5
4
Name
Order
Citations
PageRank
H. Wang166549.59
Yukio Ohsawa2972157.33
Yoko Nishihara36917.57
Lin Guo453.70