Credit Scoring using Multiobjective Data Mining

Desheng Dash Wu and David L. Olson
Additional contact information
Desheng Dash Wu: Stockholm University
David L. Olson: University of Nebraska

Chapter 9 in Enterprise Risk Management in Finance, 2015, pp 87-98 from Palgrave Macmillan

Abstract: 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.

Keywords: Decision Tree Model; Correct Classification Rate; Cutoff Limit; Credit Scoring; Negative Ideal Solution (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-46629-7_9

Ordering information: This item can be ordered from
http://www.palgrave.com/9781137466297

DOI: 10.1057/9781137466297_9

Access Statistics for this chapter

More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().