3 research outputs found
Unified Bayesian Frameworks for Multi-criteria Decision-making Problems
This paper presents Bayesian frameworks for different tasks within
multi-criteria decision-making (MCDM) based on a probabilistic interpretation
of the MCDM methods and problems. Owing to the flexibility of Bayesian models,
the proposed frameworks can address several long-standing and fundamental
challenges in MCDM, including group decision-making problems and criteria
correlation, in a statistically elegant manner. Also, the models can
accommodate different forms of uncertainty in the preferences of the decision
makers (DMs), such as normal and triangular distributions as well as interval
preferences. Further, a probabilistic mixture model is developed that can group
the DMs into several exhaustive classes. A probabilistic ranking scheme is also
designed for both criteria and alternatives, where it identifies the extent to
which one criterion/alternative is more important than another based on the
DM(s) preferences. The experiments validate the outcome of the proposed
frameworks on several numerical examples and highlight its salient features
compared to other methods
Introducing the HOBBIT platform into the ontology alignment evaluation campaign
OM is co-located with the 17th International Semantic Web Conference (ISWC)International audienceThis paper describes the Ontology Alignment Evaluation Initiative 2017.5 pre-campaign. Like in 2012, when we transitioned the evaluation to the SEALS platform, we have also conducted a pre-campaign to assess the feasibility of moving to the HOBBIT platform. We report the experiences of this pre-campaign and discuss the future steps for the OAEI
Introducing the HOBBIT platform into the Ontology Alignment Evaluation campaign
This paper describes the Ontology Alignment Evaluation Initiative 2017.5 pre-campaign. Like in 2012, when we transitioned the evaluation to the SEALS platform, we have also conducted a pre-campaign to assess the feasibility of moving to the HOBBIT platform. We report the experiences of this pre-campaign and discuss the future steps for the OAE