Research Information System
15th International Conference on Computational Methods in Water Resources, North Carolina, United States Of America, 13 - 17 June 2004, vol.55, pp.1227-1239
. Fuzzy rule-based systems provide an efficient environment for the modeling of expert information in the context of risk management for groundwater contamination problems. In general, their use in the form of conditional pieces of knowledge has been either as a tool for synthesizing control laws from data (i.e., conjunction-based models), or in a knowledge representation and reasoning perspective in Artificial Intelligence (i.e., implication-based models), where only, the latter may lead to coherence problems (e.g., input data that leads to logical inconsistency when added to the knowledge base).