1 |
WAN S P , ZHONG L B , DONG J Y . A new method for group decision making with hesitant fuzzy preference relations based on multiplicative consistency[J]. IEEE Trans.on Fuzzy Systems, 2019, 5 (2): 1- 15.
|
2 |
任剑, 王坚强, 胡春华. 基于余弦贴近度与群体共识度的正态云多准则群决策方法[J]. 控制与决策, 2017, 32 (4): 665- 672.
|
|
REN J , WANG J Q , HU C H . Multi-criterion group decision-making method based on normal cloud by cosine close degree and group consensus degree[J]. Control and Decision, 2017, 32 (4): 665- 672.
|
3 |
戚筱雯, 梁昌勇, 曹清玮. 区间直觉模糊多准则群决策自收敛算法[J]. 系统工程与电子技术, 2011, 33 (1): 110- 115.
|
|
QI X W , LIANG C Y , CAO Q W , et al. Automatic convergent approach in interval-valued intuitionistic fuzzy multi-attribute group decision making[J]. Systems Engineering and Electronics, 2011, 33 (1): 110- 115.
|
4 |
ZHANG X , XU Z S . Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making[J]. Applied Soft Computing, 2015, 26 (1): 42- 56.
|
5 |
陈岩, 金爽, 杨依宁. 区间直觉模糊信息的相容性测度和一致性群决策调整[J]. 数学的实践与认识, 2018, 48 (1): 230- 239.
|
|
CHEN Y , JIN S , YANG Y N . A consensus adjustment method for group decision making based on compatibility of interval-valued intuitionistic fuzzy information[J]. Journal of Mathematics in Practice and Theory, 2018, 48 (1): 230- 239.
|
6 |
LI Y L , WANG R , CHEN K S . New failure mode and effect analysis approach considering consensus under interval-valued intuitionistic fuzzy environment[J]. Soft Computing, 2019, 23 (11): 11611- 11626.
|
7 |
DONG Y , CHEN X , HERRERA F . Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making[J]. Information Sciences, 2015, 297 (3): 95- 117.
|
8 |
TANG M , ZHOU X , LIAO H , et al. Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making[J]. Knowledge-Based Systems, 2019, 180 (15): 62- 74.
|
9 |
DEL M , MARIA J , CHICLANA F , et al. A comparative study on consensus measures in group decision making[J]. International Journal of Intelligent Systems, 2018, 33 (8): 1624- 1638.
doi: 10.1002/int.21954
|
10 |
赵萌, 秦松松, 谢佳恒, 等. 考虑决策者风险偏好的区间直觉模糊多准则群决策方法[J]. 运筹与管理, 2018, 27 (1): 7- 16.
|
|
ZHAO M , QIN S S , XIE J H , et al. Interval-valued intuitionistic fuzzy multi-attribute group decision making considering risk preference of decision maker[J]. Operations Research and Management Science, 2018, 27 (1): 7- 16.
|
11 |
WAN S P , WANG F , DONG J Y . Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm-based group decision making[J]. European Journal of Operational Research, 2017, 263 (11): 571- 582.
|
12 |
DONG Y C , ZHAO S H , ZHENG H J , et al. A self-management mechanism for non-cooperative behaviors in large-scale group consensus reaching processes[J]. IEEE Trans.on Fuzzy Systems, 2018, 26 (6): 3276- 3288.
doi: 10.1109/TFUZZ.2018.2818078
|
13 |
SHI Z J , WANG X Q , IVAN P , et al. A novel consensus model for multi-attribute large-scale group decision making based on compre-hensive behavior classification and adaptive weight updating[J]. Knowledge-Based Systems, 2018, 158 (15): 196- 208.
|
14 |
WAN S P , WANG F , DONG J Y . A group decision-making method considering both the group consensus and multiplicative consistency of interval-valued intuitionistic fuzzy preference relations[J]. Information Sciences, 2018, 466 (10): 109- 128.
|
15 |
CABRERIZO F J , MORENO J M , PEREZ I J , et al. Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks[J]. Soft Computing, 2010, 14 (5): 451- 463.
doi: 10.1007/s00500-009-0453-x
|
16 |
WU Z , JIN B , XU J . Local feedback strategy for consensus building with probability-hesitant fuzzy preference relations[J]. Applied Soft Computing, 2018, 67 (6): 691- 705.
|
17 |
CAO M , WU J , CHICLANA F , et al. A personalized consensus feedback mechanism based on maximum harmony degree[J]. IEEE Trans.on Systems, Man, and Cybernetics: Systems, 2019, 243 (7): 654- 688.
|
18 |
ZHANG G Q , DONG Y C , XU Y F . Consistency and consensus measures for linguistic preference relations based on distribution assessments[J]. Information Fusion, 2014, 17 (5): 46- 55.
|
19 |
WU J , DAI L F , CHICLANA F , et al. A minimum adjustment cost feedback mechanism-based consensus model for group decision making under social network with distributed linguistic trust[J]. Information Fusion, 2018, 41 (5): 232- 242.
|
20 |
PEREZ I J , CABRERIZO F J , AIONSO S , et al. On dynamic consensus processes in group decision making problems[J]. Information Sciences, 2018, 459 (8): 20- 35.
|
21 |
ARIEH D B , EASTON T . Multi-criteria group consensus under linear cost opinion elasticity[J]. Decision Support Systems, 2007, 43 (3): 713- 721.
doi: 10.1016/j.dss.2006.11.009
|
22 |
ZHANG H H , KOU G , PENG Y . Soft consensus cost models for group decision making and economic interpretations[J]. European Journal of Operational Research, 2019, 277 (3): 964- 980.
doi: 10.1016/j.ejor.2019.03.009
|
23 |
DONG Y , CHEN X , HERRERA F . Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making[J]. Information Sciences, 2015, 297 (3): 95- 117.
|
24 |
ZHANG B , LIANG H , ZHANG G . Reaching a consensus with minimum adjustment in MAGDM with hesitant fuzzy linguistic term sets[J]. Information Fusion, 2017, 42 (7): 12- 23.
|
25 |
WU J , SUN Q , FUJITA H , et al. An attitudinal consensus degree to control the feedback mechanism in group decision making with different adjustment cost[J]. Knowledge-Based Systems, 2019, 164 (1): 265- 273.
|
26 |
HAN Y F , QU S J , WU Z , et al. Robust consensus models based on minimum cost with an application to marketing plan[J]. Journal of Intelligent & Fuzzy Systems, 2019, 37 (4): 5655- 5668.
|
27 |
ZHANG H J , DONG Y C , FRANCISCO C . Consensus efficiency in group decision making a comprehensive comparative study and its optimal design[J]. European Journal of Operational Research, 2019, 275 (2): 580- 598.
doi: 10.1016/j.ejor.2018.11.052
|
28 |
CHENG S H . Autocratic multi-attribute group decision making for hotel location selection based on interval-valued intuitionistic fuzzy sets[J]. Information Sciences, 2018, 427 (2): 77- 87.
|
29 |
GUPTA P , MEHLAWAT M K , GROVER N , et al. Multi-attribute group decision making based on extended TOPSIS method under interval-valued intuitionistic fuzzy environment[J]. Applied Soft Computing, 2018, 69 (8): 554- 567.
|
30 |
ATANASSOV K T . Interval valued intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1989, 31 (3): 343- 349.
doi: 10.1016/0165-0114(89)90205-4
|
31 |
徐泽水, 陈剑. 一种基于区间直觉判断矩阵的群决策方法[J]. 系统工程理论与实践, 2007, 27 (4): 128- 135.
|
|
XU Z S , CHEN J . An approach to group decision making based on interval-valued intuitionistic judgment matrices[J]. Systems Engineering Theory and Practice, 2007, 27 (4): 126- 133.
|
32 |
WEI G W . Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making[J]. Applied Soft Computing, 2010, 10 (2): 423- 431.
|
33 |
WAN S P , LI D F . Fuzzy Linmap approach to heterogeneous MADM considering comparisons of alternatives with hesitation degrees[J]. Omega, 2013, 41 (6): 925- 940.
doi: 10.1016/j.omega.2012.12.002
|
34 |
MARCHANT T . Maximal orness weights with a fixed variability for OWA operators[J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2006, 14 (8): 271- 276.
|