Mathematical Problems in Engineering Decision-Making Based on Improved Entropy Weighting Method: An Example of Passenger Comfort in a Smart Cockpit of a Car
Jianjun Yang, Shanshan Xing, Ruizhi Qiu, Yimeng Chen, Chunrong Hua, Dawei Dong
Abstract
The entropy method is used in many decisions on indicator weights and has been proven to be effective. The traditional entropy method has two shortcomings in calculating indicator weights. On the one hand, when the developed indicator is considered to have no influence, it will lead to the meaningless calculation formula of the entropy method, and on the other hand, when the entropy method is dealing with data with entropy values close to 1, there will be entropy jumps leading to data distortion. To solve the above shortcomings, two correction coefficients are introduced in this paper, and the improved entropy weight method is applied to the evaluation model of the passenger comfort of the intelligent cockpit of the car, and the effectiveness of the improved entropy weight method is proved.