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Abstract

Regression analysis is an efficient analytical method with multiple applications. The approach establishes a relationship with an approximate variance of measurement error between the dependent and independent variables. If a phenomenon under consideration not only has stochastic variance, but in some way is also ambiguous, it is more natural for the data to try a fuzzy functional relationship, which may be fuzzy or crisp.In this paper the data of RCF Kapurthala Punjab for the year 2017-2018 have been taken to obtain the relationship between the demand value and cost of Linke Hoffmann Bush (LHB) three tier AC coach train through different foam of crisp and fuzzy regression equations using least square methods. The comparative analysis of these relations we easily estimated the predicated the future demand value based on the cost of the coach.

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