Open AccessResearch on Weapon Equipment Purchase Performance Evaluation Based on Support Vector Machine
Author(s) -
Xiaosong Li,
Xinran Peng,
Zhenhua Xiao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1616/1/012097
Subject(s) - rationality , operations research , computer science , competition (biology) , customer satisfaction , dimension (graph theory) , evaluation methods , weapon system , support vector machine , reliability engineering , marketing , engineering , business , artificial intelligence , mathematics , ecology , political science , pure mathematics , law , biology
In this paper, we present an efficient performance evaluation method of weapon equipment purchase based on support vector machine. Firstly, the concept of weapon equipment purchase performance evaluation was explained and the existing problems of weapon equipment purchase performance evaluation were analysed. Then, a 12-dimension performance evaluation indicator system was constructed (these dimensions are: budget progress, cost-benefit ratio, expenditures reduction rate, supplier satisfaction, purchaser satisfaction, customer satisfaction, purchase cycle rationality, qualification rate, price rationality, competition, success rate, and policy completeness). And lastly, a weapon equipment purchase performance evaluation model based on support vector machine was established, and a case analysis was conducted. The result provides a reference for building the indicator system and model for weapon equipment purchase performance evaluation and the research conclusion can help complete and improve the evaluation method.