Affiliations: [a] School of Mathematical Sciences, Anhui University, Hefei, China
| [b] Anhui University Center for Applied Mathematics, Anhui University, Hefei, China
Correspondence:
[*]
Corresponding author. Ligang Zhou, School of Mathematical Sciences, Anhui University, Hefei 230601, China. E-mail: lgzhou@ahu.edu.cn.
Abstract: In order to estimate the deficiency of a city in its ability to prevent and control risks, as well as to evaluate the corresponding measures, this paper focuses on multi-attribute decision making based on LINMAP method and Manhattan distance at linguistic q-rung orthopair fuzzy. Manhattan distance is a new product that combines clustering distance with linguistic q-rung orthopair fuzzy to be able to use the data more effectively for measurement. LINMAP method is a decision making method based on ideal points, which can solve the weights as well as provide ideal solutions by linear programming model. The combination of the two can create a new decision-making method, which can effectively evaluate the decision scheme of social public facilities according to the actual needs of decision-makers. The new method has the following advantages: (1) the conditions of linguistic fuzzy numbers can be applied more comprehensively, making the decision more realistic and effective; (2) the Manhattan distance is more in line with the human way of thinking and closer to life; (3) after comparative study, the results produced by this method have certain reliability.
