A FUZZY MEASURE THEORY BASED PROBE INTO A SPATIAL VARIATON ON SURFACE TEMPERATURE OVER INDIA

Abstract

This study used time series and fuzzy measures to comprehend the surface temperature over Northeast India (NEI), Northwest India (NWI), and Central India (CI). We presented a technique for calculating the uncertainty surrounding surface temperature data related to the Indian summer monsoon from 1901–2007. We utilized the Dempster-Shafer Theory to produce belief measures once the random variables had been standardized. We used two judging criteria and derived the joint belief measures for all the cases. This approach gave us some insight into the uncertainties associated with the three-time series taken from three spatially separated zones. It was confirmed that the strength of the evidence across a longer time horizon is a more predictable parameter.