Interactive and nonparametric modeling of preferences on an ordinal scale using small data

Date

2016-12-15

Author

Erişkin, Levent
Köksal, Gülser

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In this study, we consider learning preference structure of a Decision Maker (DM). Many preference modeling problems in a variety of fields such as marketing, quality control and economics involve possibly interacting criteria, and an ordinal scale is used to express preference of objects. In these cases, typically underlying preference structure of the DM and distribution of criteria values are not known, and only a few data can be collected about the preferences of the DM.

Subject Keywords

Preference modeling, Sorting, Active learning, Interactive approach, Multi criteria decision aid

URI

https://hdl.handle.net/11511/40164

Journal

EXPERT SYSTEMS WITH APPLICATIONS

DOI

https://doi.org/10.1016/j.eswa.2016.08.063

Collections

Department of Industrial Engineering, Article

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Interactive and nonparametric modeling of preferences on an ordinal scale using small data Erişkin, Levent; Köksal, Gülser; Department of Industrial Engineering (2014) In this study, we consider learning preference structure of a Decision Maker (DM). Many preference modeling problems in a variety of fields such as marketing, quality control and economics, involve possibly interacting criteria, and an ordinal scale is used to express preference of objects. In these cases, typically underlying preference structure of the DM and distribution of criteria values are not known, and only a few data can be collected about the preferences of the DM. For developing a preference mod...
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Citation Formats

L. Erişkin and G. Köksal, “Interactive and nonparametric modeling of preferences on an ordinal scale using small data,” EXPERT SYSTEMS WITH APPLICATIONS, pp. 345–360, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40164.