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 a method to identify the uncertainty around the surface temperature data concerning the summer monsoon in India. The random variables were standardized, and the Dempster-Shafer Th...

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Main Authors: Rashmi Rekha Devi, Surajit Chattopadhyay
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/5/475
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author Rashmi Rekha Devi
Surajit Chattopadhyay
author_facet Rashmi Rekha Devi
Surajit Chattopadhyay
author_sort Rashmi Rekha Devi
collection DOAJ
description This paper reports a study to interpret the surface temperature based on time series and fuzzy measures. We demonstrated a method to identify the uncertainty around the surface temperature data concerning the summer monsoon in India. The random variables were standardized, and the Dempster-Shafer Theory was used to generate common goals. Two criteria, represented as fuzzy numbers, were used for this purpose. We constructed three polynomials to illustrate a functional connection between time series and the measure of joint belief. The analysis of the obtained results showed that the certainty increased over time. It confirmed that the degree of the evidence is a more predictable parameter at a more extended period.
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spelling doaj.art-7e07127e32a446dd86a2c8a063da6b2d2023-11-18T00:27:48ZengMDPI AGAxioms2075-16802023-05-0112547510.3390/axioms12050475An Interpretation of the Surface Temperature Time Series through Fuzzy MeasuresRashmi Rekha Devi0Surajit Chattopadhyay1Department of Mathematics, Amity University, Major Arterial Road, Action Area II, Rajarhat, New Town, Kolkata 700135, IndiaDepartment of Mathematics, Amity University, Major Arterial Road, Action Area II, Rajarhat, New Town, Kolkata 700135, IndiaThis paper reports a study to interpret the surface temperature based on time series and fuzzy measures. We demonstrated a method to identify the uncertainty around the surface temperature data concerning the summer monsoon in India. The random variables were standardized, and the Dempster-Shafer Theory was used to generate common goals. Two criteria, represented as fuzzy numbers, were used for this purpose. We constructed three polynomials to illustrate a functional connection between time series and the measure of joint belief. The analysis of the obtained results showed that the certainty increased over time. It confirmed that the degree of the evidence is a more predictable parameter at a more extended period.https://www.mdpi.com/2075-1680/12/5/475Dempster-Shafer Theoryfuzzy setjoint belief measurenortheast Indiasurface temperature
spellingShingle Rashmi Rekha Devi
Surajit Chattopadhyay
An Interpretation of the Surface Temperature Time Series through Fuzzy Measures
Axioms
Dempster-Shafer Theory
fuzzy set
joint belief measure
northeast India
surface temperature
title An Interpretation of the Surface Temperature Time Series through Fuzzy Measures
title_full An Interpretation of the Surface Temperature Time Series through Fuzzy Measures
title_fullStr An Interpretation of the Surface Temperature Time Series through Fuzzy Measures
title_full_unstemmed An Interpretation of the Surface Temperature Time Series through Fuzzy Measures
title_short An Interpretation of the Surface Temperature Time Series through Fuzzy Measures
title_sort interpretation of the surface temperature time series through fuzzy measures
topic Dempster-Shafer Theory
fuzzy set
joint belief measure
northeast India
surface temperature
url https://www.mdpi.com/2075-1680/12/5/475
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