Using Fuzzy Inputs to Analyze Factors in the Adoption of Electric Vehicles (EVs)

Arnab Sircar

2020

Abstract

This research applies a set of mathematical techniques to a setting where precise values cannot be obtained for opinions from experts. In order to demonstrate the applicability of these techniques, a research study was designed to measure the importance of factors responsible for increased usage and adoption of electric vehicles (EVs). In the design, various factors were considered where their measured values were subjective since in such situations, the factors are not like typical variables that occur naturally. Further, these measured values may also be imprecise. So, the idea of fuzzy numbers and fuzzy sets were utilized to capture measured values of these factors. Twelve factors were identified under three different categories of environment and sustainability, performance and efficiency, and design and manufacture. Then, fuzzy inputs were sought from six experts as a means of measuring the importance of these twelve factors. The fuzzy numbers from the six experts were aggregated using a similarity-based method and ranked based on a concept of centroids of fuzzy numbers. Thus, the top three factors were determined by developing an adoption score and ranking them in order. The top three factors determined were battery recharge time, battery cost, and environmental pollution.

Paper Citation

in Harvard Style

Sircar A. (2020). Using Fuzzy Inputs to Analyze Factors in the Adoption of Electric Vehicles (EVs). In Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - Volume 1: FCTA; ISBN 978-989-758-475-6, SciTePress, pages 301-308. DOI: 10.5220/0010133503010308

in Bibtex Style

@conference{fcta20,
author={Arnab Sircar},
title={Using Fuzzy Inputs to Analyze Factors in the Adoption of Electric Vehicles (EVs)},
booktitle={Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - Volume 1: FCTA},
year={2020},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010133503010308},
isbn={978-989-758-475-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - Volume 1: FCTA
TI - Using Fuzzy Inputs to Analyze Factors in the Adoption of Electric Vehicles (EVs)
SN - 978-989-758-475-6
AU - Sircar A.
PY - 2020
SP - 301
EP - 308
DO - 10.5220/0010133503010308
PB - SciTePress