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The jute industries 10 to 15 years back especially in south Asian countries are bread and butter for the people belonging to middle and lower income group , now the scenario is completely different. In the present scenario jute is found to be expensive and not much useful as compared to other parallel packaging material available in the market due for this reason most of the jute mills suffered, from severe financial crisis which forced the jute mills owner to close down their unit .In this context we tries to find the cause of failure of jute industries in recent age and how to develop the jute industries in recent age,. For this purpose we develop an algorithm by using rough set concept on data which we gathered from different sources, develop algorithm is simple and user friendly then validate this concept by using statistical validation method in our paper we basically focused on issues which leads to sick jute industries. Initially we gathered 10000 samples for our purpose then applying correlation technique on the collected data the data set reduced to 20 which are dissimilar in nature . Once we have the data set by correlation technique we then apply rough set techniques on those data to generate an efficient algorithm . The entire paper is sub divided into three sections. Section 1 deal with literature review and last two section deals with the experimental result and statistical validation of our proposed algorithm.

Rough Set Approach in Finding the Cause of Decline and Down Fall of Jute Industries and the Remedy