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 language | English |
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Pages | 355-358 |
Number of pages | 4 |
Publication status | Published - 2007 |
Event | 4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 - Angers, France Duration: 9 May 2007 → 12 May 2007 |
Conference
Conference | 4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 |
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Country/Territory | France |
City | Angers |
Period | 9/05/07 → 12/05/07 |
Keywords
- Goal programming
- Multi-attribute dichotomy
- Optimization modelling
- Topology