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dc.contributor.authorAlam, Md. Ashraful-
dc.contributor.authorAlaminKahn, Md.-
dc.contributor.authorKhan, Md. Nasim-
dc.contributor.authorHossain, Md. Babul-
dc.description.abstractIn 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.en_US
dc.publisherVidyasagar Universityen_US
dc.relation.ispartofseriesJournal of Physical Sciences;JPS-v21-art5-
dc.subjectFuzzy relational equation, minimum, algebraic product, bounded difference, drastic producten_US
dc.titleFuzzy Relational Equation Based on Triangular Norms to Detect the Problems of Bangladeshi Weaversen_US
Appears in Collections:Journal of Physical Sciences Vol.21 [2016]

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