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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Bibliographic Details
Main Authors: Ru, Zice, Liu, Jiapeng, Kadziński, Miłosz, Liao, Xiuwu
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/172530
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Institution: Nanyang Technological University
Language: English

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