التفاصيل البيبلوغرافية
| العنوان: |
Learning Preference Models with Sparse Interactions of Criteria |
| المؤلفون: |
Herin, Margot, Perny, Patrice, Sokolovska, Nataliya |
| المساهمون: |
DECISION, LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU) |
| المصدر: |
IJCAI 2023 - The 32nd International Joint Conference On Artificial Intelligence ; https://hal.science/hal-04103355 ; IJCAI 2023 - The 32nd International Joint Conference On Artificial Intelligence, Aug 2023, Macao, China |
| بيانات النشر: |
HAL CCSD |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
Machine Learning, Knowledge Representation and Reasoning, Uncertainty, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
| جغرافية الموضوع: |
Macao, China |
| الوصف: |
International audience ; Multicriteria decision making requires defining the result of conflicting and possibly interacting criteria. Allowing criteria interactions in a decision model increases the complexity of the preference learning task due to the combinatorial nature of the possible interactions. In this paper, we propose an approach to learn a decision model in which the interaction pattern is revealed from preference data and kept as simple as possible. We consider weighted aggregation functions like multilinear utilities or Choquet integrals, admitting representations including non-linear terms measuring the joint benefit or penalty attached to some combinations of criteria. The weighting coefficients known as Möbius masses model positive or negative synergies among criteria. We propose an approach to learn the Möbius masses, based on iterative reweighted least square for sparse recovery, and dualization to improve scalability. This approach is applied to learn sparse representations of the multilinear utility model and conjunctive/disjunctive forms of the discrete Choquet integral from preferences examples, in aggregation problems possibly involving more than 20 criteria. |
| نوع الوثيقة: |
conference object |
| اللغة: |
English |
| Relation: |
hal-04103355; https://hal.science/hal-04103355 |
| الاتاحة: |
https://hal.science/hal-04103355 |
| رقم الانضمام: |
edsbas.D2F43D9A |
| قاعدة البيانات: |
BASE |