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As far as expert knowledge representation is concerned, the proposed approach is based on Expert System techniques (rule-based methodology).
The mainstream approach to land cover modelling is rule-based methodology and this necessarily implies that decision mechanisms are often removed from the physical geospatial realities, therefore a number of questions remain: How much of the predictive power of land cover change can be linked to the physical situation as opposed to social and policy realities?
The study by Braga and Marques [34] proposed algorithms to deal with this problem of the homograph ambiguity in EP, using a linguistic rule-based methodology.
We have presented a rule-based methodology to quantify the long-term physical and social sequestration potential of carbon plantations up to the end of the 21st century and their effectiveness in slowing down the increase in atmospheric CO2.
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Accordingly, a framework for applying a methodology referred as Rule-based Inference Methodology using the Evidential Reasoning in conjunction with Smart Home Framework considering spatiotemporal aspects of ADL is outlined [35].
To overcome such contradiction a rule-based scoring methodology is proposed.
In this paper, based on the understanding of the physical insights of the water networks with internal water mains, a new rule-based design methodology is presented.
We believe that our approach can serve as a preprocessing step for model integration and the rule-based validation methodology can be applied to other ontology formats.
The SA architecture includes functionalities for data management: electronic logbook, rule-based reasoning methodology in decision support (17, 18), advice generation by relying on a diabetic patient simulator, e-mail facility, and visualization.
These different types of information are very difficult to incorporate into the FMEA by the traditional risk priority number (RPN) model and fuzzy rule-based approximate reasoning methodologies.
Specifically, we classify de-identification tools in two groups of methodologies: rule-based and machine learning-based, as proposed in an earlier publication [ 3].
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