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Causes and Effects of Climate Change via a Fuzzy Inference System

  • Gizem KocaEmail author
  • Mohammad T. A. Bhuiyan
  • Rene V. Mayorga
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1029)

Abstract

Climate change is the most large scale problem and the well-known vexed question in the modern era. The increase of global temperature on Earth’s surfaces due to the higher emission of greenhouse gasses is an indication of climate change. This paper presents a Fuzzy Inference System (FIS) to predict the relationship between effects and causes of climate change. The Fuzzy Inference System opens a baseline for understanding the causes of climate change, with expert knowledge, which reflects the relationship between multiple environmental factors. Based on a Multiple-Input-Multiple-Output Mamdani Fuzzy Inference System the repercussions of the climate change can be examined by acquiring an anticipated result with respect to a variety of climate scenarios. Here, CO2 (Carbon Dioxide), Global Temperature Changes, Snow Cover, Percentage of Forestlands, and Net Radiation are considered as inputs; while the considered outputs are Ozone Layer Changes, Arctic Ice Sheet Level, and Sea Level. Three membership functions of the “generalized bell function” type have been considered for each input and output. This paper shows that multiple inputs and multiple outputs in a Fuzzy Inference System can lead the way for understanding climate change causes and effects. Furthermore, these results are in agreement with results from other authors approaches; however, the use of a FIS allows to include elements of uncertainty and vagueness in the input variables considered.

Keywords

Climate change Global warming Greenhouse effect Fuzzy Inference System MIMO 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Gizem Koca
    • 1
    Email author
  • Mohammad T. A. Bhuiyan
    • 1
  • Rene V. Mayorga
    • 1
  1. 1.Faculty of Engineering and Applied ScienceUniversity of ReginaReginaCanada

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