Fuzzy Kalman Filtering of Hydraulic Conductivity
نویسندگان
چکیده
This paper addresses the utilization of expert information in groundwater hydrology. Given that a fuzzy model of hydraulic conductivity can be provided by appropriate experts for some spatial domain, crisp measurements can be used to update the model using a fuzzy Kalman filter. The motivation behind this algorithm is to respect the relative integrity of each data source, while still taking advantage of both forms of data.
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