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

An axiomatic framework for influence diagram computation with partially ordered preferences

Autor: Radu Marinescu, Nic Wilson

Publikováno v: International Journal of Approximate Reasoning. 125:73-117

This paper presents an axiomatic framework for influence diagram computation, which allows reasoning with partially ordered values of utility. We show how an algorithm based on sequential variable elimination can be used to compute the set of maximal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01c7fd6e8af30b5858ac4b53caf509f5
https://doi.org/10.1016/j.ijar.2020.06.011

A Triple Uniqueness of the Maximum Entropy Approach

Autor: Nic Wilson, Jürgen Landes, Jiřina Vejnarová

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030867713
ECSQARU

Inductive logic is concerned with assigning probabilities to sentences given probabilistic constraints. The Maxium Entropy Approach to inductive logic I here consider assigns probabilities to all sentences of a first order predicate logic. This assig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920f9d38f030b24921a9ea1e6a29361c
https://hdl.handle.net/2434/948210

Scaling-invariant maximum margin preference learning

Autor: Nic Wilson, Mojtaba Montazery

One natural way to express preferences over items is to represent them in the form of pairwise comparisons, from which a model is learned in order to predict further preferences. In this setting, if an item a is preferred to the item b, then it is na

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e165799a0276e7b00589ffebda1f5fb
https://hdl.handle.net/10468/10802

Assigning and Scheduling Service Visits in a Mixed Urban/Rural Setting

Autor: Guillaume Escamocher, Vincent Armant, Diarmuid Grimes, Mohamed Siala, Barry O'Sullivan, Nic Wilson, Anne-Marie George, Cemalettin Ozturk, Helmut Simonis, Daniel A. Desmond, Luis Quesada, Kenneth N. Brown, Mark Antunes, Mike O'Keeffe, Yiqing Lin

Publikováno v: International Journal on Artificial Intelligence Tools
International Journal on Artificial Intelligence Tools, World Scientific Publishing, 2020, 29 (03n04), pp.2060007. ⟨10.1142/S0218213020600076⟩
ICTAI
International Journal on Artificial Intelligence Tools, 2020, 29 (03n04), pp.2060007. ⟨10.1142/S0218213020600076⟩

This papera describes a maintenance scheduling application, which was developed together with an industrial partner. This is a highly combinatorial decision process, to plan and schedule the work of a group of travelling repair technicians, which per

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb001110b7ebe2d6649dc0d3d15eb5b3
https://hal.laas.fr/hal-02890264