An Interpretation of the Surface Temperature Time Series through Fuzzy Measures

This paper reports a study to interpret the surface temperature based on time series and fuzzy measures. We demonstrated method identify uncertainty around data concerning summer monsoon in India. The random variables were standardized, Dempster-Shafer Theory was used generate common goals. Two criteria, represented as numbers, for this purpose. constructed three polynomials illustrate functional connection between measure of joint belief. analysis obtained results showed that certainty increased over time. It confirmed degree evidence is more predictable parameter at extended period.