Authors:
James K. Ho
1
;
Sydney C. K. Chu
2
and
S. S. Lam
3
Affiliations:
1
University of Illinois at Chicago, United States
;
2
University of Hong Kong, China
;
3
School of Business and Administration, The Open University of Hong Kong, China
Keyword(s):
Data mining, decision support system, maximum resolution topology, multi-attribute dichotomy, goal programming, optimization modelling.
Related
Ontology
Subjects/Areas/Topics:
Decision Support Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
Abstract:
A topological model is presented for complex data sets in which the attributes can be cast into a dichotomy. It is shown that the relative dominance of the two parts in such a dichotomy can be measured by the corresponding areas in its star plot. An optimization model is proposed to maximize the resolution of such a measure by choice of configuration of the attributes, as well as the angles among them. The approach is illustrated with the case of online auction markets, where there is a buyer-seller dichotomy as to whether conditions are favourable to buyers or sellers. An implementation of the methodology in a spreadsheet based DSS is demonstrated. Its ease of use is promising for diverse applications.