A Fuzzy Implication-Based Approach for Validating Climatic Teleconnections

Stefanos Makariadis and Basil Papadopoulos
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Stefanos Makariadis: Section of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
Basil Papadopoulos: Section of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece

Mathematics, 2022, vol. 10, issue 15, 1-27

Abstract: Fuzzy logic, during recent decades, has evolved into one of the most influential scientific fields. To an extent, this is due to its applications which have a profound impact on the daily life of people worldwide. The goal of this paper is to focus on the applications of fuzzy logic to the study of our climate, and especially if fuzzy implications can validate the climatic teleconnections observed on climatic data. To achieve this goal, a real world case study is provided which focuses on the relationship between temperature anomalies observed at different European cities. The results of this case study are that, indeed, fuzzy implications can validate the climatic teleconnections observed on climatic data. The conclusions drawn are that fuzzy logic can assist to the definitive proof of phenomena which, till now, could only be researched experimentally.

Keywords: fuzzy implication; temperature anomalies; climatic teleconnection (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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