@article{06370bbdef16409f8d9b4b697f21a53d,
title = "Optimization Models for Training Belief-Rule-Based Systems",
author = "J Liu and J Wang and D-L Xu and J-B Yang",
note = "Other Details ------------------------------------ It is difficult to accurately determine rule-bases entirely subjectively, particularly for a large-scale rule-base. This paper presents optimisation models for a newly developed belief rule-base system. The models provide a non-black-box simulator for which input/output information can be incomplete or vague, either numerical or judgmental, or mixed. Application to analyse safety of engineering systems and leak detection in oil pipelines has shown their abilities to simulate real situations in a meaningful, efficient, consistent, and optimal way. The work relates to developments in two projects funded by EPSRC (GR/S85498/01) and DEFRA (AFM222) respectively, held in the University of Manchester.",
year = "2007",
month = jul,
day = "1",
doi = "10.1109/TSMCA.2007.897606",
language = "English",
volume = "37",
pages = "569--585",
journal = "IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans",
issn = "1083-4427",
publisher = "IEEE",
number = "4",
}