HU Tao, WANG Dong, SUN Yao, et al. Air Combat Threat Assessment of Improved CRITIC-LRA and Grey TOPSIS[J]. Acta Armamentarii2020, 41(12): 2561-2569.
DOI:
HU Tao, WANG Dong, SUN Yao, et al. Air Combat Threat Assessment of Improved CRITIC-LRA and Grey TOPSIS[J]. Acta Armamentarii2020, 41(12): 2561-2569. DOI: 10.3969/j.issn.1000-1093.2020.12.022.
Air Combat Threat Assessment of Improved CRITIC-LRA and Grey TOPSIS
In view of the subjectivity of using index weight determination in the process of air combat threat assessment and the neglect of the internal relationship between the indexes,a calculation method of determining the index weight based on an improved criteria importance though intercriteria correlation- linear regression analysis (CRITIC-LRA) is proposed. The Gini coefficient and Kendall correlation coefficient are introduced to improve the CRITIC method and determine the initial weight of indexes in accordance with the defects of CRITIC; the first-order linear regression analysis(LRA) is used to calculate the correlation of evaluation indexes
and the indexes relevance is reduced by decreasing the index weight.In order to overcome the shortcomings of using Euclidean distance as a distance measure in the technique for order performance by similarity to ideal solution (TOPSIS),the weighted grey correlation degree between indexes is used to replace Euclidean distance,and the relative closeness degree is calculated to achieve the target threat ranking. The threat assessment example shows that the proposed method can fully reflect the target threat differentiation and rank the targets.