May 20, 2024 · Our work develops methods and theory for learning the nature of decisions reached upon by individual decision makers or groups of individuals using data.
Learning Decision-Making Functions Given Cardinal and Ordinal Consensus. Data. Kanad Pardeshi1, Itai Shapira 2, Ariel Procaccia2, Aarti Singh1. 1 Carnegie ...
Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data. K Pardeshi, I Shapira, A Procaccia, A Singh. Proceedings of the AAAI Symposium ...
Aug 16, 2024 · Consensus analysis is necessary for large-scale group decision making (LSGDM) for ensuring reasonable decision results. This paper offers a new ...
Aug 23, 2024 · Ordinal consensus is also important because it can indicate the agreement of DMs with the final decision-making results which is manifested as ...
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Distance metrics and their extensions are widely accepted tools in supporting distance-based decision making, consensus building, and preference aggregation ...
Oct 22, 2024 · Furthermore, the proposed group consensus model guarantees both ordinal consistency and acceptable cardinal consistency when consensus is ...
Mar 8, 2015 · In this paper we investigate the MCGDM problem with both cardinal and ordinal preferences and develop an approach based on combination of our ...
Why do we need cardinal utility (instead of ordinal ranking)?
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Sep 21, 2024 · Using cardinal utility is justified if you think that the axioms of Expected Utility Theory are plausible, because then your choice behavior can be described.
This paper addresses the problem of constructing a group cardinal social welfare function whose arguments are the individual utility functions of group ...