HIGHLIGHTS
- who: Rukiye Kaya from the Centre for Logistics and Heuristic Optimisation, Kent Business School, The University of Kent, Canterbury, Kent , FS, UK have published the paper: A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge, in the Journal: (JOURNAL)
- what: The authors propose an effective integration of multi criteria decision making methods and Bayesian networks (BN) that incorporates expert knowledge. The authors propose the analytical hierarchy process to determine the weights of the decision criteria and TOPSIS to rank the alternatives. The authors propose to use Ranked Nodes to . . .
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