Preliminary Results in the Use of Fuzzy Logic for a Radiological Waste Characterization Expert System
نویسندگان
چکیده
Researchers at the Mississippi State University Diagnostic and Instrumentation Laboratory (DIAL) are collaborating with scientists at the Idaho National Engineering Laboratory (INEL) to develop an expert system that analyzes and characterizes containerized radiological waste. The DIAL researchers are making use of various artificial intelligence (AI) techniques to develop different versions of the expert system, with the intent being the determination of the most appropriate AI technique or combination of techniques for this particular problem. This report provides an overview of fuzzy logic and describes its use in the implementation of a preliminary version of the waste characterization expert system.
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