Evaluation of the Environmental Effect of Automated Vehicles Based on IVIULWG Operator Development

Shuang Kan, Wei Lyu () and Shiyu Zhao
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Shuang Kan: School of Business Administration, Northeastern University, Shenyang 110169, China
Wei Lyu: School of Business Administration, Northeastern University, Shenyang 110169, China
Shiyu Zhao: School of Business Administration, Northeastern University, Shenyang 110169, China

Sustainability, 2022, vol. 14, issue 15, 1-14

Abstract: The automated vehicle (AV) industry is a new growing industry of great interest. The environmental friendliness of AVs represents a core characteristic of their leap-forward development. The environmental effect of AVs, including its evaluation framework and algorithm, is a leading research area for continued technological innovation and market development in this field. This study focuses on three environmental aspects: the energy effect of AVs, the traffic effect of AVs on ground space, and the air effect of AVs on three-dimensional atmospheric space. First, an environmental effect evaluation indicator system that includes nine indices for AVs is constructed to be the basis for management decision making. Second, the interval-valued intuitionistic uncertain fuzzy (IVIUF) evaluation variable is used to solve the problem of data features that incorporate “crisp numbers” and “fuzzy numbers”. Moreover, geometric weights are added based on the generalized correlation aggregation operator. Then, the IVIUL-weighted geometric (IVIULWG) operator is developed, which includes the objective and subjective information of “crisp numbers” and “fuzzy numbers” and makes the mathematical characteristics more scientific and accurate. Finally, an evaluation example is used to validate the effectiveness and practicability of the algorithm.

Keywords: automated vehicles; environmental effect; interval-valued intuitionistic uncertain linguistic-weighted geometric (IVIULWG); multi-criteria evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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