A multi-objective supplier selection framework based on user-preferences

Autor: Steven Prestwich, Yiqing Lin, Nic Wilson, Federico Toffano, Helmut Simonis, Michele Garraffa

Publikováno v: Annals of Operations Research

This paper introduces an interactive framework to guide decision-makers in a multi-criteria supplier selection process. State-of-the-art multi-criteria methods for supplier selection elicit the decision-maker’s preferences among the criteria by pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1142ff85698fdf14723b0cc8e76af6a2
https://doi.org/10.1007/s10479-021-04251-5

Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation

Autor: Federico Toffano, Paolo Viappiani, Nic Wilson

Publikováno v: AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::24f6eaf8c09e3ebc052bd2d20a53368c

A Probabilistic Programming Language for Influence Diagrams

Autor: Steven Prestwich, Nic Wilson, Federico Toffano

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319675817
SUM

Probabilistic Programming (PP) extends the expressiveness and scalability of Bayesian networks via programmability. Influence Diagrams (IDs) extend Bayesian Networks with decision variables and utility functions, allowing them to model sequential dec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::32b4981ede5a880920921cdd0657ec8a
https://doi.org/10.1007/978-3-319-67582-4_18

Efficient exact computation of setwise minimax regret for interactive preference elicitation

Autor: Federico Toffano, Paolo Viappiani, Nic Wilson

Publikováno v: Scopus-Elsevier
HAL
Proceedings of AAMAS 2021
20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)
20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), May 2021, Online, United Kingdom

International audience; A key issue in artificial intelligence methods for interactive preference elicitation is choosing at each stage an appropriate query to the user, in order to find a near-optimal solution as quickly as possible. A theoretically

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3e2c0955244446d0c949ec09c101df14
http://www.scopus.com/inward/record.url?eid=2-s2.0-85112261117&partnerID=MN8TOARS