{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,5]],"date-time":"2024-05-05T00:26:33Z","timestamp":1714868793338},"reference-count":29,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2024,5,1]]},"DOI":"10.1587\/transinf.2023edp7087","type":"journal-article","created":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T22:21:15Z","timestamp":1714515675000},"page":"694-703","source":"Crossref","is-referenced-by-count":0,"title":["Weighted Generalized Hesitant Fuzzy Sets and Its Application in Ensemble Learning"],"prefix":"10.1587","volume":"E107.D","author":[{"given":"Haijun","family":"ZHOU","sequence":"first","affiliation":[{"name":"College of Electrical Engineering and Control Science, Nanjing Tech University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weixiang","family":"LI","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering and Control Science, Nanjing Tech University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"CHENG","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering and Control Science, Nanjing Tech University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"SUN","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering and Control Science, Nanjing Tech University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] L.A. Zadeh, \u201cFuzzy sets,\u201d Information and control, vol.8, no.3, pp.338-353, 1965. 10.1016\/s0019-9958(65)90241-x","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] L.A. Zadeh, \u201cThe concept of a linguistic variable and its application to approximate reasoning \u2014 i,\u201d Information sciences, vol.8, no.3, pp.199-249, 1975. 10.1016\/0020-0255(75)90036-5","DOI":"10.1016\/0020-0255(75)90036-5"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] K.T. Atanassov, \u201cIntuitionistic fuzzy sets,\u201d Fuzzy Sets and Systems, vol.20, no.1, pp.87-96, 1986. 10.1016\/s0165-0114(86)80034-3","DOI":"10.1016\/S0165-0114(86)80034-3"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] K.T. Atanassov and G. Gargov, \u201cInterval valued intuitionistic fuzzy sets,\u201d Fuzzy Sets and Systems, vol.31, no.3, pp.343-349, 1989. 10.1016\/0165-0114(89)90205-4","DOI":"10.1016\/0165-0114(89)90205-4"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] V. Torra, \u201cHesitant fuzzy sets,\u201d International journal of intelligent systems, vol.25, no.6, pp.529-539, 2010. 10.1002\/int.20418","DOI":"10.1002\/int.20418"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] V. Torra and Y. Narukawa, \u201cOn hesitant fuzzy sets and decision,\u201d 2009 IEEE international conference on fuzzy systems, pp.1378-1382, IEEE, 2009. 10.1109\/fuzzy.2009.5276884","DOI":"10.1109\/FUZZY.2009.5276884"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] S. Chen and L. Cai, \u201cInterval-valued hesitant fuzzy sets,\u201d Fuzzy Systems and Mathematics, vol.27, no.6, pp.38-44, 2013.","DOI":"10.3233\/IFS-130985"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] G. Qian, H. Wang, and X. Feng, \u201cGeneralized hesitant fuzzy sets and their application in decision support system,\u201d Knowledge-Based Systems, vol.37, pp.357-365, 2013. 10.1016\/j.knosys.2012.08.019","DOI":"10.1016\/j.knosys.2012.08.019"},{"key":"9","unstructured":"[9] M. Palanikumar, K. Arulmozhi, A. Iampan, and L.J. Manavalan, \u201cNovel possibility pythagorean cubic fuzzy soft sets and their applications,\u201d International Journal of Innovative Computing Information and Control, vol.19, no.02, p.325-337, 2023."},{"key":"10","unstructured":"[10] B. Chen, Y. Guo, X. Gao, Y. Wang, and X. Du, \u201cDynamic multi-attribute decision-making method with interval-valued intuitionistic fuzzy power weighted operators,\u201d Syst. Eng. Electron, vol.41, no.4, pp.850-855, 2019."},{"key":"11","unstructured":"[11] Y. Ren, X. Yuan, and L. Huang, \u201cq-rung hesitant triangular fuzzy bm operator and its application in multiple criteria decision making,\u201d Syst. Eng. Electron, vol.44, no.1, pp.181-191, 2022."},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] F. Ahmad, A.Y. Adhami, B. John, and A. Reza, \u201cA novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator,\u201d RAIRO-Operations Research, vol.56, no.1, pp.275-292, 2022. 10.1051\/ro\/2022006","DOI":"10.1051\/ro\/2022006"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] J. Li, J. Ye, L.-L. Niu, Q. Chen, and Z.-X. Wang, \u201cDecision-making models based on satisfaction degree with incomplete hesitant fuzzy preference relation,\u201d Soft Computing, vol.26, no.7, pp.3129-3145, 2022. 10.1007\/s00500-021-06635-y","DOI":"10.1007\/s00500-021-06635-y"},{"key":"14","unstructured":"[14] Z. Yang, L. Zhang, and C. Liang, \u201cA method for group decision making with multiplicative consistent interval-valued intuitionistic fuzzy preference relation.,\u201d IAENG International Journal of Applied Mathematics, vol.51, no.1, 2021."},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] Y. Wang, X. Hu, and L. Wang, \u201cEffectiveness evaluation method of constellation satellite communication system with acceptable consistency and consensus under probability hesitant intuitionistic fuzzy preference relationship,\u201d Soft Computing, vol.26, no.22, pp.12559-12581, 2022. 10.1007\/s00500-022-07220-7","DOI":"10.1007\/s00500-022-07220-7"},{"key":"16","unstructured":"[16] W. Zeng, D. Li, and Q. Yin, \u201cGroup decision making approach of weighted hesitant fuzzy sets,\u201d Control and Decision, vol.34, no.3, pp.527-534, 2019."},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] W. Zeng, D. Li, and Q. Yin, \u201cWeighted interval-valued hesitant fuzzy sets and its application in group decision making,\u201d International Journal of Fuzzy Systems, vol.21, pp.421-432, 2019. 10.1007\/s40815-018-00599-2","DOI":"10.1007\/s40815-018-00599-2"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] G. Ngo, R. Beard, and R. Chandra, \u201cEvolutionary bagging for ensemble learning,\u201d Neurocomputing, vol.510, pp.1-14, 2022. 10.1016\/j.neucom.2022.08.055","DOI":"10.1016\/j.neucom.2022.08.055"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] X. Zhu, J. Li, J. Ren, J. Wang, and G. Wang, \u201cDynamic ensemble learning for multi-label classification,\u201d Information Sciences, vol.623, pp.94-111, 2023. 10.1016\/j.ins.2022.12.022","DOI":"10.1016\/j.ins.2022.12.022"},{"key":"20","unstructured":"[20] N.G. Angelica and G. Dennis, \u201cEnsemble learning for permission-based mobile malware detection in android,\u201d ICIC Express Letters, Part B: Applications, vol.14, no.07, p.727-734, 2023."},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] P. Singh, Y.-P. Huang, and S.-I. Wu, \u201cAn intuitionistic fuzzy set approach for multi-attribute information classification and decision-making,\u201d International Journal of Fuzzy Systems, vol.22, pp.1506-1520, 2020. 10.1007\/s40815-020-00879-w","DOI":"10.1007\/s40815-020-00879-w"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] P. Singh and Y.-P. Huang, \u201cA four-way decision-making approach using interval-valued fuzzy sets, rough set and granular computing: a new approach in data classification and decision-making,\u201d Granular Computing, vol.5, pp.397-409, 2020. 10.1007\/s41066-019-00165-7","DOI":"10.1007\/s41066-019-00165-7"},{"key":"23","unstructured":"[23] Z. Dai, K. Hu, and J. Xie, \u201cEnsemble learning algorithm based on intuitionistic fuzzy sets,\u201d Computer Science, vol.48, no.S1, pp.270-274, 2021."},{"key":"24","doi-asserted-by":"publisher","unstructured":"[24] Z. Xu, \u201cIntuitionistic fuzzy aggregation operators,\u201d IEEE Trans. Fuzzy Syst., vol.15, no.6, pp.1179-1187, 2007. 10.1109\/tfuzz.2006.890678","DOI":"10.1109\/TFUZZ.2006.890678"},{"key":"25","doi-asserted-by":"publisher","unstructured":"[25] Z. Xu and R.R. Yager, \u201cSome geometric aggregation operators based on intuitionistic fuzzy sets,\u201d International journal of general systems, vol.35, no.4, pp.417-433, 2006. 10.1080\/03081070600574353","DOI":"10.1080\/03081070600574353"},{"key":"26","doi-asserted-by":"publisher","unstructured":"[26] M. Xia and Z. Xu, \u201cHesitant fuzzy information aggregation in decision making,\u201d International journal of approximate reasoning, vol.52, no.3, pp.395-407, 2011. 10.1016\/j.ijar.2010.09.002","DOI":"10.1016\/j.ijar.2010.09.002"},{"key":"27","unstructured":"[27] Z. Xu and P. Ren, \u201cA survey of decision making with hesitant fuzzy preference relations: Progress and prospect,\u201d System Engineering Theory and Practice, vol.40, no.8, pp.2193-2202, 2020."},{"key":"28","unstructured":"[28] J. Yu and J. Wang, \u201cMultiplicative consistency of hesitant intuitionistic fuzzy preference relations and its applications in group decision making,\u201d Fuzzy Systems and Mathematics, vol.34, pp.114-121, 2020."},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] B. Satya, M.H. SJ, M. Rahardi, and F.F. Abdulloh, \u201cSentiment analysis of review sestyc using support vector machine, naive bayes, and logistic regression algorithm,\u201d 2022 5th International Conference on Information and Communications Technology (ICOIACT), pp.188-193, IEEE, 2022. 10.1109\/icoiact55506.2022.9972046","DOI":"10.1109\/ICOIACT55506.2022.9972046"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/5\/E107.D_2023EDP7087\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T04:15:09Z","timestamp":1714796109000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/5\/E107.D_2023EDP7087\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,1]]},"references-count":29,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2023edp7087","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,1]]},"article-number":"2023EDP7087"}}