Intelligent framework for multiple-attribute decision-making under probabilistic neutrosophic sets and its applications

Article type: Research Article

Authors: Zheng, Xiaobin

Affiliations: Fujian Chuanzheng Communications College, Fuzhou, Fujian 350007, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Fujian Chuanzheng Communications College, Fuzhou, Fujian 350007, China. E-mail: [email protected].

Abstract: Highway engineering itself is a large-scale project with high construction safety requirements, involving multiple construction safety factors. In order to better ensure the orderly development of highway tunnel construction, it is necessary to strengthen construction safety evaluation. The construction safety management evaluation of highway engineering is viewed as the multiple-attribute decision-making (MADM) issue. In this paper, an extended probabilistic neutrosophic number TOPSIS (PNN-TOPSIS) method is established for construction safety management evaluation of highway engineering. The PNN-TOPSIS method integrated with CRITIC method in probabilistic neutrosophic sets (PNSs) circumstance is applied to rank the optional alternatives and a numerical example for construction safety management evaluation of highway engineering is used to proof the newly proposed method’s practicability along with the comparison with other methods. The results display that the approach is uncomplicated, valid and simple to compute.

Keywords: Multiple-attributes decision making (MADM), probabilistic neutrosophic sets (PNSs), TOPSIS method, construction safety management evaluation of highway engineering

DOI: 10.3233/KES-230095

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 27, no. 4, pp. 503-513, 2023