Automatic Generation of Programs for Data Tables with Batch Least Square Mamdani Inference Systems: Application in the AWG Table

Abstract

Tables are used in several areas where is required to show value responses, relationships, scores, percentages, and statistical results, among others. Tables increase accessing speed to information, but they need space for be presented and saving space could make that all the required values be not always included. Computer programs can replace tables, so that space not be required when presenting information, this has been explored since computers were developed presenting several algorithms. Fuzzy systems could be an alternative to generate programs for replace tables, more over this allow to get an expert system that knows the data in the table, but fuzzy systems require several numerical parameters to be tuned. In this paper is proposed the use of Batch Least Square Mamdani system for mimic tables in computer programs specifically applied in the AWG table which is a very common table used by engineers and electrical technicians.