Historically much data has been generated to facilitate human analysis for accurate prediction and so this has encouraged the use of fuzzy based analysis techniques over other possible methods of data processing. In addition, since humans are so adept at understanding gray logic i.e. fuzzy based techniques, fuzzy based analysis provides some aid in predicting time series and also helps informally validate results. From the above discussion it can be safely concluded that the present study is able to predict the capital for the coming years as well as the trend can be identified (as shown in the table). By classifying the historical data into fuzzy length interval makes it closer to the real world and narrows down the range of prediction. The present paper is a study of importance as it paves the way for laying the foundation to ensure increased robustness, versatility and reliability of fuzzy based systems.
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