Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Frédéric Pichon"'
Publikováno v:
International Journal of Approximate Reasoning. 152:282-283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b39bacc82c8bc80eb6221cba2696b6a
https://doi.org/10.1016/j.ijar.2022.11.004
https://doi.org/10.1016/j.ijar.2022.11.004
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783031178009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa37b193b98afac8e9eee01f9ea9dee2
https://doi.org/10.1007/978-3-031-17801-6_14
https://doi.org/10.1007/978-3-031-17801-6_14
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783031178009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85c76ca4df4e4f49da3b1912ee8443c
https://doi.org/10.1007/978-3-031-17801-6_11
https://doi.org/10.1007/978-3-031-17801-6_11
Publikováno v:
6th International Conference on Belief Functions
6th International Conference on Belief Functions, Sep 2021, Shanghai, China. pp.207-214, ⟨10.1007/978-3-030-88601-1_21⟩
Belief Functions: Theory and Applications ISBN: 9783030886004
BELIEF
6th International Conference on Belief Functions (BELIEF 2021)
6th International Conference on Belief Functions (BELIEF 2021), Sep 2021, Shanghai, China. pp.207-214, ⟨10.1007/978-3-030-88601-1_21⟩
6th International Conference on Belief Functions, Sep 2021, Shanghai, China. pp.207-214, ⟨10.1007/978-3-030-88601-1_21⟩
Belief Functions: Theory and Applications ISBN: 9783030886004
BELIEF
6th International Conference on Belief Functions (BELIEF 2021)
6th International Conference on Belief Functions (BELIEF 2021), Sep 2021, Shanghai, China. pp.207-214, ⟨10.1007/978-3-030-88601-1_21⟩
International audience; Measuring inconsistency has been and is still an active research topic in both logic and evidence theory. However, the two fields have developed distinct notions and measures of inconsistency, following different paths. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e687637d956129db2697ec2c72a5193
https://hal.archives-ouvertes.fr/hal-03387904
https://hal.archives-ouvertes.fr/hal-03387904
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030867713
ECSQARU
ECSQARU
This paper addresses a variant of the vehicle routing problem with time windows where service and travel times are modeled within the framework of belief function theory. This theory is general as it offers to model several facets of information impe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f329cc7921e82be68a27526d06e4b7c
https://doi.org/10.1007/978-3-030-86772-0_28
https://doi.org/10.1007/978-3-030-86772-0_28
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783030886004
BELIEF
BELIEF
Adopting a general framework to faithfully represent uncertainty, such as belief function theory, usually comes at a cost. In many real-life applications, we are constrained to handle mass functions that have too many focal elements. Fortunately, one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f23acbfd958d581cf787f416a5575a91
https://hal.archives-ouvertes.fr/hal-03520319
https://hal.archives-ouvertes.fr/hal-03520319
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783030886004
BELIEF
BELIEF
Information content is classically measured by entropy measures in probability theory, that can be interpreted as a measure of internal inconsistency of a probability distribution. While extensions of Shannon entropy have been proposed for quantifyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e2133b327c11918bdacf3e8a501b9a
https://doi.org/10.1007/978-3-030-88601-1_22
https://doi.org/10.1007/978-3-030-88601-1_22
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783030886004
BELIEF
BELIEF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c20c03e8e129f38f1f17ac2fdd67079
https://hal.archives-ouvertes.fr/hal-03520320
https://hal.archives-ouvertes.fr/hal-03520320
Publikováno v:
Knowledge-Based Systems
Knowledge-Based Systems, Elsevier, 2020, 205, pp.106252-. ⟨10.1016/j.knosys.2020.106252⟩
Knowledge-Based Systems, Elsevier, 2020, 205, pp.106252-. ⟨10.1016/j.knosys.2020.106252⟩
Choquistic regression is an elegant generalisation of logistic regression, which preserves its monotonicity whilst alleviating its linearity. However, much as logistic regression, it lacks self-awareness, that is, an ability to represent the ignoranc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b8133277a347487a797e83ad9cd1b41
https://hal.archives-ouvertes.fr/hal-03492451
https://hal.archives-ouvertes.fr/hal-03492451
Publikováno v:
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning, Elsevier, 2018, 95, pp.124-151. ⟨10.1016/j.ijar.2018.02.003⟩
International Journal of Approximate Reasoning, Elsevier, 2018, 95, pp.124-151. ⟨10.1016/j.ijar.2018.02.003⟩
International audience; We propose to represent uncertainty on customer demands in the Capacitated Vehicle Routing Problem (CVRP) using the theory of evidence. To tackle this problem, we extend classical stochastic programming modelling approaches. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9a280cf206cf8c72610da27d0b09ce
https://doi.org/10.1016/j.ijar.2018.02.003
https://doi.org/10.1016/j.ijar.2018.02.003