Intelligent quality control for manufacturing in the food industry using a new fuzzy-fractal approach

Author

Castillo, Oscar ; Melin, Patricia

Author_Institution

Dept. of Comput. Sci., Tijuana Inst. of Technol., Chula Vista, CA, USA

Volume

1

fYear

1999

fDate

36342

Firstpage

151

Abstract

We describe a new method to perform automated quality control in the food industry, based on the use of a new fuzzy-fractal approach. Traditionally, the goal of the quality control department in the food industry has been the application of the minimal number of microbiological and chemical techniques to the samples of food, so as to have a decision on the quality of the production as quickly as possible. The main idea in this paper is to combine the use of the fractal dimension as a measure of classification of microorganisms and chemicals with the use of fuzzy logic to simulate the expert evaluation/decision process of productions quality. We have developed an intelligent system that is able to perform automated quality control in the food industry

Keywords

food processing industry; fractals; fuzzy logic; knowledge based systems; process control; quality control; food industry; fuzzy logic; fuzzy rule based system; fuzzy-fractal method; intelligent system; microorganism classification; quality control; Chemical industry; Chemical processes; Chemical products; Food industry; Food manufacturing; Fractals; Intelligent control; Microorganisms; Production; Quality control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-5489-3

Type

conf

DOI

10.1109/IPMM.1999.792465

Filename

792465