ABSTRACT
PCSEX integrates large amounts of data from previous testing and expertise acquired from previous experience. It also integrates models or formulae which are associated with a user's system structure. One of the important capabilities of PCSEX is the ability to deal effectively with imprecise, incomplete and uncertain information. The goal variable values (Omega Rating) obtained from different knowledge sources may be different. Each of the knowledge sources draws its uncertaintly from both uncertainty of input variables and from incomplete knowledge or errors. Employing fuzzy algorithms and certainty-factor algebra, PCSEX calculates all fuzzy values and their respective certainty factors, then weights all fuzzy values according to its own uncertainty factor to obtain more accurate goal values.
