概率中性集下多属性决策智能框架及其应用

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Xiaobin Zheng
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引用次数: 0

摘要

公路工程本身是一项大型工程,施工安全要求高,涉及多个施工安全因素。为了更好地保证公路隧道施工的有序开展,有必要加强施工安全评价。将公路工程施工安全管理评价看作是一个多属性决策问题。本文建立了用于公路工程施工安全管理评价的扩展概率中性数TOPSIS (PNN-TOPSIS)方法。将PNN-TOPSIS方法与概率中性集(PNSs)环境下的CRITIC方法相结合,对可选方案进行排序,并以公路工程施工安全管理评价为例,验证了该方法的实用性,并与其他方法进行了比较。结果表明,该方法简单、有效、计算简单。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent framework for multiple-attribute decision-making under probabilistic neutrosophic sets and its applications
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.
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CiteScore
2.10
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0.00%
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22
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