Fuzzy Relational Equation Based on Triangular Norms to Detect the Problems of Bangladeshi Weavers

Abstract

In this work, Fuzzy relational equation P∘Q=R is considered as model, where P is an m×n fuzzy matrix formed by taking the t-norms “minimum”, “algebraic product”, “bounded difference” and “drastic product” (respectively) between the attributes related to the labourers and the attributes related to the owners of the labourers’s, Q is an n×1 fuzzy matrix formed by the owner’s expectations and R is the resultant matrix giving the status of the bonded labourers. Here “ ” means max- composition. In this work we consider as t-norms “minimum”, “algebraic product”, “bounded difference” and “drastic product” one after another. Finally, we have given a comparative study among the results of application of all t-norms used here.