Intelligent Systems Design with Linguistic Equations," 9th Workshop Fuzzy Control des GMA-FA 5.22 am 4/5.11.1999

Linguistic equations are useful for taking into account non-linearity especially in multivariable application systems. The main benefit is better and more accurate decision-making due to the model-based approach and systematic knowledge management. Insight to the process dynamic operation is the most important issue. Automatic generation of systems, model-based techniques and adaptation techniques are very valuable in developing and tuning systems for fault diagnosis and forecasting. The linguistic equation approach increases the performance by combining various specialised models in a case-based approach. The LE approach is very efficient as a modelling technique: models can be generated from data, various types of fuzzy rule-based models can be represented by LE models, and any LE model can be transformed to fuzzy rule-based models. The LE approach is successfully extended to dynamic modelling.