Progress of graph model for conflict resolution in conflict analysis: A systematic review and bibliometrics research

被引:3
作者
Zhou, Xinyu [1 ]
Ma, Xiaoqi [2 ,3 ]
机构
[1] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Heilongjiang, Peoples R China
[2] Heilongjiang Univ, Sch Informat Management, Harbin, Heilongjiang, Peoples R China
[3] Heilongjiang Univ, Res Ctr Informat Resources Management, Harbin, Heilongjiang, Peoples R China
关键词
Graph model for conflict resolution (GMCR); conflict analysis; decision support system (DSS); bibliometrics; visualization; DECISION-SUPPORT-SYSTEM; PREFERENCE UNCERTAINTY; OPTION PRIORITIZATION; MATRIX REPRESENTATION; FUZZY PREFERENCES; VISUALIZATION; ROBUSTNESS; FRAMEWORK;
D O I
10.3233/JIFS-201320
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Conflict is an inevitable social phenomenon and the analysis of it can effectively resolve disputes, improve the position of decisionmakers (DMs), forecast compromise solutions as well. At present, the Graph Model for Conflict Resolution (GMCR), a completely non-quantitative decision support system (DSS) based on DM's ordinal preference information, is constructed to combat conflict analysis complicated by multiple participant or multiple criteria or both. The purpose of the study is to introduce an overview of GMCR in conflict analyzing through bibliometrics. In order to achieve this goal, a systematic review of articles in leading journals of Web of Science Core Collection (WoSCC) during 1987-2019 is posed, referring to the distribution of countries, institutions, authors, subjects and journals, research topics and hotspots exploration as well as frontiers prediction, by utilizing VOSviewer and CiteSpace. The contributions of this study are not only providing a handy method to grasp generalized scientific research situation, but also demonstrating status quo and emerging trends of GMCR for researchers and everyone who interested in.
引用
收藏
页码:5835 / 5846
页数:12
相关论文
共 53 条
[31]   Preference uncertainty in the graph model for conflict resolution [J].
Li, KW ;
Hipel, KW ;
Kilgour, DM ;
Fang, LP .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2004, 34 (04) :507-520
[32]   ROBUSTNESS OF EQUILIBRIA IN THE GRAPH MODEL FOR CONFLICT RESOLUTION [J].
Matbouli, Yasser T. ;
Kilgour, D. Marc ;
Hipel, Keith W. .
JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING, 2015, 24 (04) :450-465
[33]  
Meister D.B., 1994, Group Decision and Negotiation, V3, P333
[34]   Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups [J].
Miguel Campanario, Juan .
SCIENTOMETRICS, 2018, 115 (01) :111-130
[35]   Agent-based computing from multi-agent systems to agent-based models: a visual survey [J].
Niazi, Muaz ;
Hussain, Amir .
SCIENTOMETRICS, 2011, 89 (02) :479-499
[36]   The role of emotions in envisioning outcomes in conflict analysis [J].
Obeidi, A ;
Hipel, KW ;
Kilgour, DM .
GROUP DECISION AND NEGOTIATION, 2005, 14 (06) :481-500
[37]   Probabilistic Preferences in the Graph Model for Conflict Resolution [J].
Rego, Leandro C. ;
dos Santos, Andrea Maria .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 45 (04) :595-608
[38]   The application of robustness analysis to the conflict with incomplete information [J].
Sakakibara, H ;
Okada, N ;
Nakase, D .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2002, 32 (01) :14-23
[39]  
Silva MM, 2017, J LEG AFF DISPUTE RE, V9, DOI 10.1061/(ASCE)LA.1943-4170.0000235
[40]   A new literature growth model: Variable exponential growth law of literature [J].
Su, Y ;
Han, LF .
SCIENTOMETRICS, 1998, 42 (02) :259-265