{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:10:52Z","timestamp":1777705852373,"version":"3.51.4"},"reference-count":30,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T00:00:00Z","timestamp":1679961600000},"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: Applications in Engineering and Technology"],"published-print":{"date-parts":[[2023,6]]},"abstract":"<jats:p>The uncertainty of weight makes the weight density between samples not fixed. Aiming at the problem that the existing CLIQUE clustering algorithm does not consider the weight of object features, which leads to low accuracy, an improved weighted method combined with the thought of posets is proposed. In addition, this method does not need accurate weight assignment, only the weight order can run efficiently. First, the weight order of object features is obtained, and then the partial order weight is applied to the original data to obtain weighted data with weights. Then the traditional CLIQUE algorithm is used to cluster according to weighted data, and finally the partial order weighted CLIQUE model is obtained. Through the experiment of six groups of data, the results show that: under the given weight sequence constraints, the clustering quality of the weighted CLIQUE model is significantly higher than that of the unweighted model, and the clustering accuracy and other aspects are significantly improved. In this method model, weight information is effectively integrated into the algorithm when only the feature weight order is obtained, and the function of feature weight is fully played to enhance the robustness of clustering results. At the same time, the idea of poset can effectively integrate expert information, and the representation of the nearest neighbor elements in Hasse graph can show the effect intuitively. It is an effective improvement method of CLIQUE clustering algorithm.<\/jats:p>","DOI":"10.3233\/jifs-224214","type":"journal-article","created":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T12:07:31Z","timestamp":1680005251000},"page":"9461-9473","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on variable weight CLIQUE clustering algorithm based on partial order set"],"prefix":"10.1177","volume":"44","author":[{"given":"Maojun","family":"Cao","sequence":"first","affiliation":[{"name":"Liaoning Technical University","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingda","family":"Hu","sequence":"additional","affiliation":[{"name":"Liaoning Technical University","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhu","family":"Yue","sequence":"additional","affiliation":[{"name":"Huangshan University","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2023,3,28]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-005-1396-1"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.12.099"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/1497577.1497578"},{"key":"e_1_3_1_5_2","first-page":"26","article-title":"Poset multi-criteria decision method with implicit weights","volume":"27","author":"Yue L.Z.","year":"2018","unstructured":"YueL.Z., ZhangZ.J., et al., Poset multi-criteria decision method with implicit weights, Operations Research and Management 27 (2018), 26\u201331.","journal-title":"Operations Research and Management"},{"key":"e_1_3_1_6_2","first-page":"111","article-title":"Group evaluation model based on online information and its poset solving method","volume":"28","author":"Yue L.Z.","year":"2019","unstructured":"YueL.Z. and Li.L.Q., Group evaluation model based on online information and its poset solving method, Operations Research and Management 28 (2019), 111\u2013117.","journal-title":"Operations Research and Management"},{"key":"e_1_3_1_7_2","first-page":"208","article-title":"Hasse Graph analysis on the robustness of employee performance ranking under variable weights","volume":"30","author":"Gao Y.","year":"2021","unstructured":"GaoY., YueL.Z., et al., Hasse Graph analysis on the robustness of employee performance ranking under variable weights, Operations Research and Management 30 (2021), 208\u2013213.","journal-title":"Operations Research and Management"},{"key":"e_1_3_1_8_2","first-page":"977","article-title":"Based on partial order set risk evaluation model of coal spontaneous combustion research","volume":"21","author":"Jia B.S.","year":"2021","unstructured":"JiaB.S., ChengY.X., et al., Based on partial order set risk evaluation model of coal spontaneous combustion research, Journal of Safety and Environment 21 (2021), 977\u2013983.","journal-title":"Journal of Safety and Environment"},{"key":"e_1_3_1_9_2","unstructured":"Chen.Z.H. Improvement and application of cluster anal- ysis algorithm CLIQUE Diss Central South University 2009."},{"key":"e_1_3_1_10_2","first-page":"953","article-title":"Data stream clustering algorithm based on adaptive density grid parameters","volume":"5","author":"Xing C.Z.","year":"2011","unstructured":"XingC.Z., WangF., et al., Data stream clustering algorithm based on adaptive density grid parameters, Computer Science and Exploration 5 (2011), 953\u2013958.","journal-title":"Computer Science and Exploration"},{"key":"e_1_3_1_11_2","first-page":"61","article-title":"An improved CLIQUE algorithm for residential hot area clustering","volume":"41","author":"Li S.M.","year":"2020","unstructured":"LiS.M., ZhangB.Z., et al., An improved CLIQUE algorithm for residential hot area clustering, Small Microcomputer Systems 41 (2020), 61\u201365.","journal-title":"Small Microcomputer Systems"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.5815\/ijitcs.2017.06.04"},{"key":"e_1_3_1_13_2","first-page":"1846","article-title":"A grid clustering algorithm of edge detection","volume":"26","author":"Zhang H.Y.","year":"2011","unstructured":"ZhangH.Y., LiuX.Y., et al., A grid clustering algorithm of edge detection, Control and Decision 26 (2011), 1846\u20131850.","journal-title":"Control and Decision"},{"key":"e_1_3_1_14_2","first-page":"143","article-title":"Cluster Edge Precision Enhanced Clustering Algorithm Based on Grid and Density","volume":"23","author":"Shan S.M.","year":"2008","unstructured":"ShanS.M., ZhangN., et al., Cluster Edge Precision Enhanced Clustering Algorithm Based on Grid and Density, Computer Engineering and Applications 23 (2008), 143\u2013146.","journal-title":"Computer Engineering and Applications"},{"key":"e_1_3_1_15_2","first-page":"1702","article-title":"Extended clustering algorithm based on grid relative density difference","volume":"31","author":"Huang H.W.","year":"2014","unstructured":"HuangH.W. and HuangT.M., Extended clustering algorithm based on grid relative density difference, Application Research of Computers 31 (2014), 1702\u20131705.","journal-title":"Application Research of Computers"},{"key":"e_1_3_1_16_2","doi-asserted-by":"crossref","unstructured":"LiuF. YeC. et al. Accurate grid-based clustering algorithmwith diagonal grid searching and merging IOP Conference Series: Materials Science and Engineering Vol. 242. No. 1. IOP Publishing 2017.","DOI":"10.1088\/1757-899X\/242\/1\/012123"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.11.011"},{"key":"e_1_3_1_18_2","first-page":"85","article-title":"CLIQUE improved algorithm based on Gaussian process","volume":"35","author":"Xiang L.M.","year":"2015","unstructured":"XiangL.M., ZhouW.B., et al., CLIQUE improved algorithm based on Gaussian process, Computer Applications 35 (2015), 85\u201387+92.","journal-title":"Computer Applications"},{"key":"e_1_3_1_19_2","doi-asserted-by":"crossref","unstructured":"BurevaV. et al. Generalized net model simulation of cluster analysis using CLIQUE: clustering in quest Advances in High Performance Computing: Results of the International Conference on \u201cHigh Performance Computing\u201d Borovets Bulgaria 2019. Springer International Publishing (2021) 48\u201360.","DOI":"10.1007\/978-3-030-55347-0_5"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.01.034"},{"issue":"2","key":"e_1_3_1_21_2","first-page":"1359","article-title":"Application of improved multidimensional spatial data mining algorithm in agricultural informationization","volume":"38","author":"Si H.","year":"2020","unstructured":"SiH., SunC., et al., Application of improved multidimensional spatial data mining algorithm in agricultural informationization, Journal of Intelligent&Fuzzy Systems 38(2) (2020), 1359\u20131369.","journal-title":"Journal of Intelligent&Fuzzy Systems"},{"key":"e_1_3_1_22_2","unstructured":"AhmedR.D. Density grid based stream clustering algo- rithm Diss. Izmir Institute of Technology (Turkey) 2019."},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-985X.2005.00350.x"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmacro.2014.09.005"},{"key":"e_1_3_1_25_2","first-page":"32","article-title":"Water quality evaluation method based on entropy weight-order set","volume":"38","author":"Lai W.Z.","year":"2021","unstructured":"LaiW.Z., MaoZ.Y., et al., Water quality evaluation method based on entropy weight-order set, News of the Yangtze River Academy of Sciences 38 (2021), 32\u201338.","journal-title":"News of the Yangtze River Academy of Sciences"},{"key":"e_1_3_1_26_2","doi-asserted-by":"crossref","unstructured":"GratzerG. General Lattice Theory NewYork: Academ Icpress (1978).","DOI":"10.1007\/978-3-0348-7633-9"},{"key":"e_1_3_1_27_2","unstructured":"DuK. Calculation and arithmetic properties of partitioned function of Poset Diss Nankai University 2013."},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1021\/ci034214m"},{"key":"e_1_3_1_29_2","first-page":"117","article-title":"Average heights in partially ordered sets","volume":"71","author":"Bruggemann R.","year":"2014","unstructured":"BruggemannR. and AnnoniP., Average heights in partially ordered sets, MATCH Commun Math Comput Chem 71 (2014), 117\u2013142.","journal-title":"MATCH Commun Math Comput Chem"},{"key":"e_1_3_1_30_2","doi-asserted-by":"crossref","unstructured":"DilworthR.P. A decomposition theorem for partially ordered sets Classic Papers in Combinatorics (1987) 139\u2013144.","DOI":"10.1007\/978-0-8176-4842-8_10"},{"key":"e_1_3_1_31_2","unstructured":"UCI UCI Machine Learning Repository.https:\/\/archive.ics.uci.edu\/ml\/index.php."}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-224214","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-224214","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-224214","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:45:25Z","timestamp":1777455925000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-224214"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,28]]},"references-count":30,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["10.3233\/JIFS-224214"],"URL":"https:\/\/doi.org\/10.3233\/jifs-224214","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,28]]}}}