Evaluating the Influencing Factors on Adoption of Self-driving Vehicles by Using Interval-Valued Pythagorean Fuzzy AHP

Abstract

As the use of self-driving vehicles become substantially possible, attention should be turned to focus on people’s adoption of those vehicles. Factors affecting the opinions and perception towards the behavioral intention to use the self-driving vehicles have positive and negative impacts on individual’s adaptation. One of the main characteristics of that of factors is its uncertainties and vagueness in many aspects. Evaluation of those factors requires a multi-criteria decision-making approach to better address the uncertainties associated with decision-makers’ judgments. The main purpose of this study is to assess the weight coefficients of factors affecting adoption of self-driving vehicles through using interval-valued Pythagorean fuzzy AHP. The research’s contribution lies in identifying and weighting the sub-criteria of factors pertaining to acceptance of self-driving vehicle under Pythagorean fuzzy environment, in which the study takes into consideration psychological, safety, driving-related and external factors. The identification of criteria in accordance with their relative weight coefficients would help policy-makers and those who develop and manufacture self-driving vehicles.