Knowledge-based radiological planning and optimization using fuzzy logic

This dissertation presents a fuzzy logic based methodology for radiological planning and radiation protection optimization. Fuzzy Cost-Benefit analysis is used for pre-planned maintenance activities as a technique to determine optimum solutions in radiation protection. It is based on the cost-benefit methodology described in International Commission of Radiation Protection No. 37 and used within a knowledge based framework for the purpose of optimizing radiation protection. This methodology is examined through application to heating ventilation and air conditioning (HVAC) systems. HVAC is used to reduce radioactivity concentration levels in contaminated multi-compartment models at nuclear power plants when higher than normal radiation levels are detected. The overall objective is to reduce personnel exposure resulting from airborne radioactivity, when routine or maintenance access is required. The Fuzzy Logic methodology proposed deals with the uncertainties present in ALARA (as low as reasonably achievable). The concept of ALARA introduces vagueness and imprecision because it involves linguistic concepts (fuzzy) such as "as low as" or "reasonable". Fuzzy logic is used to quantify in a more precise and unambiguous manner the meaning of such terms.