Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (6): 1254-1261.doi: 10.23919/JSEE.2020.000096
• SYSTEMS ENGINEERING • Previous Articles Next Articles
Kexin JIANG(), Quan ZHANG*(), Manting YAN()
Received:
2019-08-15
Online:
2020-12-18
Published:
2020-12-29
Contact:
Quan ZHANG
E-mail:1402151289@qq.com;isqzhang@sohu.com;1373639553@qq.com
About author:
Supported by:
Kexin JIANG, Quan ZHANG, Manting YAN. Multi-attribute group decision making method under 2-dimension uncertain linguistic variables[J]. Journal of Systems Engineering and Electronics, 2020, 31(6): 1254-1261.
Table 1
Attribute values with respect to four enterprises given by expert ${E_1}$ "
Enterprise | Attribute( | Attribute( | Attribute( | Attribute( |
| | | | |
| | | | |
| | | | |
| | | | |
Table 2
Attribute values with respect to four enterprises given by expert ${E_2}$ "
Enterprise | Attribute( | Attribute( | Attribute( | Attribute( |
| | | | |
| | | | |
| | | | |
| | | | |
Table 3
Attribute values with respect to four enterprises given by expert ${E_3}$ "
Enterprise | Attribute( | Attribute( | Attribute( | Attribute( |
| | | | |
| | | | |
| | | | |
| | | | |
1 |
KRISHANKUMAR R, SUBRAJAA L S, RAVICHANDRAN K S, et al A framework for multi-attribute group decision-making using double hierarchy hesitant fuzzy linguistic term set. International Journal of Fuzzy Systems, 2019, 21 (4): 1130- 1143.
doi: 10.1007/s40815-019-00618-w |
2 |
GARG H, NANCY Linguistic single-valued neutrosophic prioritized aggregation operators and their applications to multiple-attribute group decision-making. Journal of Ambient Intelligence and Humanized Computing, 2018, 9 (6): 1975- 1997.
doi: 10.1007/s12652-018-0723-5 |
3 |
RAHMAN K, ABDULLAH S, JAMIL M, et al Some generalized intuitionistic fuzzy Einstein hybrid aggregation operators and their application to multiple attribute group decision making. International Journal of Fuzzy Systems, 2018, 20 (5): 1567- 1575.
doi: 10.1007/s40815-018-0452-0 |
4 |
GUPTA P, MEHLAWAT M K, GROVER N A generalized TOPSIS method for intuitionistic fuzzy multiple attribute group decision making considering different scenarios of attributes weight information. International Journal of Fuzzy Systems, 2019, 21 (2): 369- 387.
doi: 10.1007/s40815-018-0563-7 |
5 |
QIN J D, LIU X W, PEDRYCZ W An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research, 2017, 258 (2): 626- 638.
doi: 10.1016/j.ejor.2016.09.059 |
6 | XU Y J, WEN X W, ZHANG W C A two-stage consensus method for large-scale multi-attribute group decision making with an application to earthquake shelter selection. Computers & Industrial Engineering, 2018, 116, 113- 129. |
7 |
OBULAPORAM G, NIVETHITHA S, KANNAN K, et al ⅡVIFS-WASPAS: an integrated multi-criteria decision-making perspective for cloud service provider selection. Future Generation Computer Systems, 2020, 103, 91- 110.
doi: 10.1016/j.future.2019.09.053 |
8 |
LIU B S, ZHOU Q, DING R X, et al Large-scale group decision making model based on social network analysis: trust relationship-based conflict detection and elimination. European Journal of Operational Research, 2019, 275 (2): 737- 754.
doi: 10.1016/j.ejor.2018.11.075 |
9 | GARG H, ARORA R A nonlinear-progra mming methodology for multi-attribute decision-making problem with interval-valued intuitionistic fuzzy soft sets information. Applied Intelligence, 2017, 48 (8): 2031- 2046. |
10 |
RIDVAN S, LIU P Maximizing deviation method for neutrosophic multiple attribute decision making with incomplete weight information. Neural Computing and Applications, 2016, 27 (7): 2017- 2029.
doi: 10.1007/s00521-015-1995-8 |
11 | RAHMAN K, ABDULLAH S, ALI A, et al Approaches to multi-attribute group decision making based on induced interval-valued Pythagorean fuzzy Einstein hybrid aggregation operators. Bulletin Brazilian Mathematical Society, 2018, 50 (4): 845- 869. |
12 |
LIU P D, LIU J L Some q-rung orthopai fuzzy bonferroni mean operators and their application to multi-attribute group decision making. International Journal of Intelligent Systems, 2018, 33 (2): 315- 347.
doi: 10.1002/int.21933 |
13 |
CHENG S H Autocratic multi-attribute group decision making for hotel location selection based on interval-valued intuitionistic fuzzy sets. Information Sciences, 2018, 427, 77- 87.
doi: 10.1016/j.ins.2017.10.018 |
14 |
CHEN S M, HAN W H An improved multi-attribute decision making method using interval-valued intuitionistic fuzzy values. Information Sciences, 2018, 467, 489- 505.
doi: 10.1016/j.ins.2018.07.062 |
15 |
LIAO H C, ZHANG C, LUO L A multiple attribute group decision making method based on two novel intuitionistic multiplicative distance measures. Information Sciences, 2018, 467, 766- 783.
doi: 10.1016/j.ins.2018.05.023 |
16 |
ZENG S Z, CHEN S M, FAN K Y, et al Interval-valued intuitionistic fuzzy multiple attribute decision making based on nonlinear programming methodology and TOPSIS method. Information Sciences, 2020, 506, 424- 442.
doi: 10.1016/j.ins.2019.08.027 |
17 |
ZHANG K, ZHAN J M, WU W J Novel fuzzy rough set models and corresponding applications to multi-criteria decision making. Fuzzy Sets and Systems, 2020, 383, 92- 126.
doi: 10.1016/j.fss.2019.06.019 |
18 |
LAN J B, ZOU H Y, HU M M Dominance degrees for intervals and their application in multiple attribute decision-making. Fuzzy Sets and Systems, 2020, 383, 146- 164.
doi: 10.1016/j.fss.2019.07.001 |
19 |
HERRERA F, HERRERA-VIEDMA E, MARTINEZ L A fuzzy linguistic methodology to deal with unbalanced linguistic term sets. IEEE Trans. on Fuzzy Systems, 2008, 16 (2): 354- 370.
doi: 10.1109/TFUZZ.2007.896353 |
20 |
GARCIA-LAPRESTAA J L, POZO R G D An ordinal multi-criteria decision-making procedure under imprecise linguistic assessments. European Journal of Operational Research, 2019, 279 (1): 159- 167.
doi: 10.1016/j.ejor.2019.05.015 |
21 | LUO X, LI W M, WANG X Z, et al Fuzzy interval linguistic sets with applications in multi-attribute group decision making. Journal of Systems Engineering and Electronics, 2018, 29 (6): 1237- 1250. |
22 |
LIU J, WANG M T, XU P, et al Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure. Ekonomska Istrazivanja/Economic Research, 2019, 32 (1): 3667- 3683.
doi: 10.1080/1331677X.2019.1646146 |
23 |
LIU P S, DIAO H Y, ZOU L, et al Uncertain multi-attribute group decision making based on linguistic-valued intuitionistic fuzzy preferenc relations. Information Sciences, 2020, 508, 293- 308.
doi: 10.1016/j.ins.2019.08.076 |
24 |
ZHANG C, LI D Y, LIANG J Y, et al Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes. Information Sciences, 2020, 507, 665- 683.
doi: 10.1016/j.ins.2019.01.033 |
25 |
XU Z S Induced uncertain linguistic OWA operators applied to group decision making. Information Fusion, 2006, 7 (2): 231- 238.
doi: 10.1016/j.inffus.2004.06.005 |
26 | ZHU W D, ZHOU G Z, YANG S L An approach to group decision making based on 2-dimension linguistic assessment information. Systems Engineering, 2009, 27 (2): 113- 118. |
27 |
ZHU H, ZHAO J B, XU Y 2-Dimension linguistic computational model with 2-tuples for multi-attribute group decision making. Knowledge-Based Systems, 2016, 103, 132- 142.
doi: 10.1016/j.knosys.2016.04.006 |
28 |
LIU P D, QI X F Some generalized dependent aggregation operators with 2-dimension linguistic information and their application to group decision making. Journal of Intelligent and Fuzzy Systems, 2014, 27 (4): 1761- 1773.
doi: 10.3233/IFS-141142 |
29 |
WU Q, WANG F, ZHOU L, et al Method of multiple attribute group decision making based on 2-dimension interval type-2 fuzzy aggregation operators with multi-granularity linguistic information. International Journal of Fuzzy Systems, 2017, 19 (6): 1880- 1903.
doi: 10.1007/s40815-016-0291-9 |
30 |
LIU X Y, JU Y B, QU Q X Hesitant fuzzy 2-dimension linguistic term set and its application to multiple attribute group decision making. International Journal of Fuzzy Systems, 2018, 20 (7): 2301- 2321.
doi: 10.1007/s40815-017-0384-0 |
31 |
LIU P D An approach to group decision making based on 2-dimension uncertain linguistic information. Technological and Economic Development of Economy, 2012, 18 (3): 424- 437.
doi: 10.3846/20294913.2012.702139 |
32 |
WU Y N, XU C B, LI L W Y, et al A risk assessment framework of PPP waste-to-energy incineration projects in China under 2-dimension linguistic environment. Journal of Cleaner Production, 2018, 183, 602- 617.
doi: 10.1016/j.jclepro.2018.02.077 |
33 |
WU Y N, SUN X K, LU Z M, et al Optimal site selection of straw biomass power plant under 2-dimension uncertain linguistic environment. Journal of Cleaner Production, 2019, 212, 1179- 1192.
doi: 10.1016/j.jclepro.2018.12.091 |
34 |
LIU H C, QUAN M Y, LI Z W, et al A new integrated MCDM model for sustainable supplier selection under interval-valued intuitionistic uncertain linguistic environment. Information Sciences, 2019, 486, 254- 270.
doi: 10.1016/j.ins.2019.02.056 |
35 |
DOUKAS H Modelling of linguistic variables in multi-criteria energy policy support. European Journal of Operational Research, 2013, 227 (2): 227- 238.
doi: 10.1016/j.ejor.2012.11.026 |
36 |
LIU P D, TENG F Multiple attribute decision-making method based on 2-dimension uncertain linguistic density generalized hybrid weighted averaging operator. Soft Computing, 2018, 22 (3): 797- 810.
doi: 10.1007/s00500-016-2384-7 |
37 | LIU P D, HE L, YU X C Generalized hybrid aggregation operators based on the 2-dimension uncertain linguistic information for multiple attribute group decision making. Group Decision and Negotiation, 2015, 25 (1): 103- 126. |
38 |
LIU P D, WANG Y M The aggregation operators based on the 2-dimension uncertain linguistic information and their application to decision making. International Journal of Machine Learning and Cybernetics, 2016, 7 (6): 1057- 1074.
doi: 10.1007/s13042-015-0430-x |
39 |
LIU P D, YU X C 2-Dimension uncertain linguistic power generalized weighted aggregation operator and its application in multiple attribute group decision making. Knowledge-Based System, 2014, 57, 69- 80.
doi: 10.1016/j.knosys.2013.12.009 |
No related articles found! |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||