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In response, we propose a hierarchical group affective computing model that combines human personalities, mood, and emotional states, which can quantitatively describe affective transitions impacted by persistent external stimuli and evaluate the achievement degree of the MAGDM results. Then, we give a definition of affective cognitive parameters in MAGDM and introduce an affective cognitive MAGDM model to study the influence rule between the group experts\u2019 affective cognitive parameters and decision results. Subsequently, affective cognitive parameters identification algorithms are given based on closed-loop feedback controller tuning principle, helping effectively assist the group decision-making process automatically. Numerical and clinical rehabilitation medical cases are employed to verify the proposed methods, demonstrating the validity of the contributions.<\/jats:p>","DOI":"10.3233\/jifs-169563","type":"journal-article","created":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T14:29:57Z","timestamp":1528208997000},"page":"11-33","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["An affective cognition based approach to multi-attribute group decision making"],"prefix":"10.1177","volume":"35","author":[{"given":"Su","family":"Chong","sequence":"first","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}]},{"given":"Gao","family":"Yue","sequence":"additional","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}]},{"given":"Jiang","family":"Bingxu","sequence":"additional","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}]},{"given":"Li","family":"Hongguang","sequence":"additional","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}]}],"member":"179","published-online":{"date-parts":[[2018,6,5]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-015-1617-x"},{"key":"e_1_3_2_3_2","first-page":"1437","article-title":"Multiple attribute decision making method with attribute aspirations in the form of random variable","volume":"30","author":"Chao Y.","year":"2015","unstructured":"ChaoY. and ZhipingF., Multiple attribute decision making method with attribute aspirations in the form of random variable, Control and Decision30(2015), 1437\u20131440.","journal-title":"Control and Decision"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2013.11.013"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.09.048"},{"key":"e_1_3_2_6_2","first-page":"494","article-title":"A method of dynamic multi-attribute decision making based on variable weight","volume":"29","author":"Xiaozhi Z.","year":"2014","unstructured":"XiaozhiZ., ChuanxiZ. and ZhuL., A method of dynamic multi-attribute decision making based on variable weight, Control and Decision29(2014), 494\u2013498.","journal-title":"Control and Decision"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2007.08.008"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2013.10.215"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2017.02.041"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.10.010"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2015.05.013"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2555999"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jairtraman.2010.03.004"},{"key":"e_1_3_2_14_2","doi-asserted-by":"crossref","unstructured":"CinarA. and BayrakE.S. 26 \u2013Real-Time Knowledge-Based Systems. 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