Subakti, M.M.I. (2005) Multiple Null Values Estimating in Generating Weighted Fuzzy Rules Using Genetic Simulated Annealing


Several methods are proposed to estimate null values in relational database systems. Usually it’s only for one or several null values. In this paper, we present a method to generate weighted fuzzy rules from relational database systems for estimating multiple null values using Genetic Simulated Annealing (GSA), where the attributes appearing in the antecedent part of generated fuzzy rules have different weights. The only constraint is at least there’s one value in the column/field at the database is not null value to estimate another values (if it is a null value).


Fuzzy sets, Genetic Simulated Annealing, null values.