DETERMINING MODEL DIFFICULTY WITH FUZZY LOGIC METHOD IN GARMENT INDUSTRY


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BİLGİÇ H., DURU BAYKAL P., KUVVETLİ Y.

AUTEX, Ljubljana, Slovenia, 8 - 10 June 2016, pp.59

  • Publication Type: Conference Paper / Full Text
  • City: Ljubljana
  • Country: Slovenia
  • Page Numbers: pp.59
  • Inonu University Affiliated: Yes

Abstract

In this study, a rule-based fuzzy logic approach is proposed for determining model difficulty in manufacturing top clothing for ladies.The Mamdani's fuzzy interface system in MATLAB software is used in the modelling of fuzzy logic. Three main inputs are used for predicting model difficulty. These are unit operation time, second quality rate and main pattern type. Unit operation time and second quality rate are expressed with fuzzy numbers and main pattern type is evaluated as standard and non-standard.According to the applied fuzzy logic model, selected six different clothing models areidentified to be simple, medium-hard, hard and very hard.