caa a22 4500 605470634 CHVBK 20210128100329.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00500-014-1259-z doi (NATIONALLICENCE)springer-10.1007/s00500-014-1259-z Multi-criteria group decision making method based on interval 2-tuple linguistic information and Choquet integral aggregation operators [Elektronische Daten] [Jian-qiang Wang, Dan-dan Wang, Hong-yu Zhang, Xiao-hong Chen] Considering that interval 2-tuple linguistic model can solve the interval linguistic multi-criteria decision-making problems, and Choquet integral can deal with the multi-criteria group decision-making problems with correlated criteria, in the revelation of these two methods, this paper combined them together to cope with the interval linguistic multi-criteria group decision-making problems with correlated criteria. Because of the limitations of 2-tuple linguistic representation model, a modified composite scale based on 2-tuple linguistic model was proposed which can better improve the accuracy of decision-making. First, using Choquet integral and interval 2-tuple linguistic model, two aggregation operators with their properties were introduced to better reflect correlations among criteria, i.e., the interval 2-tuple correlated averaging operator and the interval 2-tuple correlated geometric operator. Then, a multi-criteria group decision-making method based on the above operators was proposed. Finally, the proposed method was compared with the existing ones based on the same illustrative example to confirm its feasibility and rationality. Springer-Verlag Berlin Heidelberg, 2014 Multi-criteria group decision-making nationallicence Interval 2-tuple linguistic model nationallicence Choquet integral nationallicence Modified composite scale nationallicence Wang Jian-qiang School of Business, Central South University, 410083, Changsha, China aut Wang Dan-dan School of Business, Central South University, 410083, Changsha, China aut Zhang Hong-yu School of Business, Central South University, 410083, Changsha, China aut Chen Xiao-hong School of Business, Central South University, 410083, Changsha, China aut Soft Computing Springer Berlin Heidelberg 19/2(2015-02-01), 389-405 1432-7643 19:2<389 2015 19 500 https://doi.org/10.1007/s00500-014-1259-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1259-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang Jian-qiang School of Business, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Wang Dan-dan School of Business, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Zhang Hong-yu School of Business, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Chen Xiao-hong School of Business, Central South University, 410083, Changsha, China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/2(2015-02-01), 389-405 1432-7643 19:2<389 2015 19 500