A multi-criteria decision making method to measure offset printing quality according to paper type: Intuitionistic fuzzy entropy based TOPSIS method

The purpose of this study is to create a decision-making mechanism that evaluates papers according to offset printing quality. For this purpose, paper types were determined first. Then, each of the CMYK colors were measured for the selected papers and the numerical values of print contrast, print density, color values, and color range features were obtained. These numerical values were fuzzified with the sigmoid fuzzification function. After determining these fuzzy values for the Intuitionistic Fuzzy entropy (IFE) concept with the conversion method to IF values, entropy measurements were calculated, and the decision-making process was completed with the TOPSIS decision-making modeling using these IF entropy measurements. Separate calculations were made according to ten different IF entropies to prove the accuracy of the obtained result. Although the results obtained according to all entropies selected the same paper type as the most useful and least useful according to CMYK colors, they gave different results for the few other paper types in between according to quality order. According to the findings, when all colors are examined, the best paper in terms of offset printing quality is coated papers; the worst paper is III low grade paper.