2015Palgrave Macmillan UK eBooksRequires access

Credit Scoring using Multiobjective Data Mining

Desheng Wu, David L. Olson

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Abstract

The technique for order preference by similarity to ideal solution (TOPSIS) is a classical method first developed by Hwang and Yoon, 1 subsequently discussed by many. 2 TOPSIS is based on the concept that alternatives should be selected that have the shortest distance from the positive ideal solution (PIS) and the longest distance from the negative ideal solution (NIS), or nadir. The PIS has the best measures over all attributes, while the NIS has the worst measures over all attributes. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

About this research paper

What this paper is about

The technique for order preference by similarity to ideal solution (TOPSIS) is a classical method first developed by Hwang and Yoon, 1 subsequently discussed by many. 2 TOPSIS is based on the concept that alternatives should be selected that have the shortest distance from the positive ideal solution (PIS) and the longest distance from the negative ideal solution (NIS), or nadir. The PIS has the best measures over all attributes, while the NIS has the worst measures over all attributes. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Method / approach

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Available abstract

The technique for order preference by similarity to ideal solution (TOPSIS) is a classical method first developed by Hwang and Yoon, 1 subsequently discussed by many. 2 TOPSIS is based on the concept that alternatives should be selected that have the shortest distance from the positive ideal solution (PIS) and the longest distance from the negative ideal solution (NIS), or nadir. The PIS has the best measures over all attributes, while the NIS has the worst measures over all attributes. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: TOPSIS, Ideal solution, Ideal (ethics), Similarity (geometry), Preference, Nadir, Data mining, Order (exchange)

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