Optimization model and dss for maximum resolution dichotomies

James K. Ho, Sydney C.K. Chu, S. S. Lam

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

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. Data mining, decision support system, maximum resolution.

Original languageEnglish
Pages355-358
Number of pages4
Publication statusPublished - 2007
Event4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 - Angers, France
Duration: 9 May 200712 May 2007

Conference

Conference4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007
Country/TerritoryFrance
CityAngers
Period9/05/0712/05/07

Keywords

  • Goal programming
  • Multi-attribute dichotomy
  • Optimization modelling
  • Topology

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