Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences
We propose a family of probabilistic ordinal regression methods for multiple criteria sorting. They employ an additive value function model to aggregate the performances on multiple criteria and the threshold-based procedure to derive the class assignments of alternatives. The Decision Makers (DMs)...
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Main Authors: | Ru, Zice, Liu, Jiapeng, Kadziński, Miłosz, Liao, Xiuwu |
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Other Authors: | Nanyang Business School |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172530 |
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Institution: | Nanyang Technological University |
Language: | English |
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