{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:22:58Z","timestamp":1777702978187,"version":"3.51.4"},"reference-count":22,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2019,1,9]],"date-time":"2019-01-09T00:00:00Z","timestamp":1546992000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2019,5,14]]},"abstract":"<jats:p>\u00a0In order to accurately assess the threat of air multi-target in the complicated and changeable air combat environment, an assessment method based on improved group generalized intuitionistic fuzzy soft set (I-GGIFSS) is proposed in this paper. Firstly, considering the characteristics of air target and the influence factors of threat assessment, a reasonable threat assessment system is established, and the appropriate assessment index is determined. Secondly, the generalized parameter matrix provided by many experts is introduced into the generalized intuitionistic fuzzy soft set (GIFSS) to form the group generalized intuitionistic fuzzy soft set (GGIFSS) to compensate for the knowledge limitation and assessment error of a single expert in traditional GIFSS. Finally, subjective weight is determined by group AHP (GAHP) and objective weight is determined by intuitionistic fuzzy entropy (IFE), then subjective weight and objective weight are combined based on relative entropy theory to determine reasonable index weight and expert weight, thus I-GGIFSS is obtained. The validity and superiority of I-GGIFSS are verified by the calculation and comparison of an example.<\/jats:p>","DOI":"10.3233\/jifs-169972","type":"journal-article","created":{"date-parts":[[2019,1,11]],"date-time":"2019-01-11T11:32:12Z","timestamp":1547206332000},"page":"4127-4139","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["Air multi-target threat assessment method based on improved GGIFSS"],"prefix":"10.1177","volume":"36","author":[{"given":"Zhang","family":"Qiang","sequence":"first","affiliation":[{"name":"Aeronautics Engineering College, Air Force Engineering University, Xi\u2019an, China"}]},{"given":"Hu","family":"Junhua","sequence":"additional","affiliation":[{"name":"Aeronautics Engineering College, Air Force Engineering University, Xi\u2019an, China"}]},{"given":"Feng","family":"Jinfu","sequence":"additional","affiliation":[{"name":"Aeronautics Engineering College, Air Force Engineering University, Xi\u2019an, China"}]},{"given":"Liu","family":"An","sequence":"additional","affiliation":[{"name":"Aeronautics Engineering College, Air Force Engineering University, Xi\u2019an, China"}]}],"member":"179","published-online":{"date-parts":[[2019,1,9]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.21629\/JSEE.2018.02.11"},{"issue":"9","key":"e_1_3_1_3_2","first-page":"2206","article-title":"Threat Assessment of Aircraft Carrier Formation Based on Hierarchical Bayesian Network [J]","volume":"29","author":"Chen L.","year":"2017","unstructured":"ChenL., MaY.P., Threat Assessment of Aircraft Carrier Formation Based on Hierarchical Bayesian Network [J], Journal of System Simulation, 29(9) (2017), 2206\u20132212.","journal-title":"Journal of System Simulation"},{"issue":"3","key":"e_1_3_1_4_2","first-page":"101","article-title":"Target Threat Prediction Assessment Based on Improved Elman Neural Network [J]","volume":"39","author":"Xu G.G.","year":"2017","unstructured":"XuG.G., DuanX.S., Target Threat Prediction Assessment Based on Improved Elman Neural Network [J]. 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