The investigation was conducted in Cotton Grade Section laboratories, Cotton Research Institute, Agricultural Research Center. Giza, Egypt and Menia El-Kameh Industrial Spinning Unit of El-Sharkia Governorate, Egypt during the 2016 and 2017 seasons. The aim of the study was to scout the relationships between fiber properties and yarn qualities. (Lea product and Single yarn strength) at 60's and 80's yarn count of Giza 92 and Giza 88 cultivars at good grade , using two analytical models Fiber Quality Index (FQI) and the Multiplicative Analytic Hierarchy process (MIAHP) with a convolution factor of 3.6. Results revealed highly positive significant correlation between MIAHP as mathematical model and both of single yarn strength and lea product for both varieties across the two seasons. Additionally the findings, highlighted that certain fiber traits ,namely Upper Half Mean Length (X1), Short fiber content (X3), , Fiber Strength (X6), Micronaire value (X4), made the highest contribution and had the most significant impact on yarn quality traits at 60's and 80's yarn count for Giza 88 &Giza 92 cultivars . Furthermore all regression models examined were found to be significant in explaining the variability of the two yarn properties .This was confirming by the high values of R2 and near values of the adjusted corresponding R2 , indicating validity and good fit of the two models.