AN APPLICATION OF FUZZY DYNAMIC INTEGRATED JUDGMENT TO COTTON ALLOCATION

In the manufacturing process of yarns for the textile industry, often encountered is the problem of how to select a substitute (from the war ehouse) for a brand of cotton in the cotton allocation that is current ly in use but running out of the raw material. A model that uses fuzzy dynamic integrated judgment (FDIJ) provides a very useful tool in sol ving this problem. In view of several factors in cotton allocations, t he FDIJ is made for cotton selection according to the data feedback fr om previous production runs. The main objective of this paper is to ex plain how the data feedback can be stored in a fuzzy dynamic relations hip dictionary which generates a fuzzy dynamic relation to be used in the learning ability in the problem of cotton allocation.