A Fuzzy Implication-Based Approach for Validating Climatic Teleconnections

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.