Consensual Group-AHPSort: Applying consensus to GAHPSort in sustainable development and industrial engineering

被引:22
作者
Labella, Alvaro [1 ]
Ishizaka, Alessio [2 ]
Martinez, Luis [1 ]
机构
[1] Univ Jaen, Dept Comp Sci, Jaen, Spain
[2] NEOMA Business Sch, Dept Informat Syst Supply Chain & Decis Making, Mont St Aignan, France
关键词
Multi-Criteria Group Decision Making sorting problems; Group AHPSort; Consensus reaching processes; Consensus measures; GROUP DECISION-MAKING; SUPPORT-SYSTEM; MINIMUM-COST; AHP; MODEL; AGGREGATION; PERSPECTIVE; MECHANISM; SELECTION; FEEDBACK;
D O I
10.1016/j.cie.2020.107013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Multi-Criteria Group Decision Making (MCGDM) deals with the process of taking decisions among a number of decision makers who evaluate different alternatives on several criteria that may be conflicting. In such a type of problems conflicts may are not only related to the criteria but also with the decision makers that could result in unsatisfactory solutions because of disagreements or deadlocks to achieve a decision. To avoid these undesirable results, consensus processes have been applied to group decision. The application of MCGDM has been mainly focused on decision problems for ranking and choice alternatives but, similarly to multi-criteria decision making, other types of problems such as sorting and description can be formulated. Although, a few number of MCGDM-sorting models, comparing with ranking and choice ones, have been proposed their importance and impact is quite significant nowadays. Hence, our aim is to consider the recent proposal on Group-AHPSort that did not consider any disagreement measure across the sorting decision process and study how the use of consensus processes can avoid some misclassifications or disagreements among the group of decision makers taking part in the MCGDM problem. To illustrate our approach, a case study focusing on the sorting of five European Union countries according to their sustainable development performance regarding social issues will show the importance and utility of detecting and smoothing disagreements in Group-AHPSort.
引用
收藏
页数:13
相关论文
共 64 条
[1]  
Bana E Costa CA, 1996, RAIRO-RECH OPER, V30, P191
[2]   Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry [J].
Banaeian, Narges ;
Mobli, Hossein ;
Fahimnia, Behnam ;
Nielsen, Izabela Ewa ;
Omid, Mahmoud .
COMPUTERS & OPERATIONS RESEARCH, 2018, 89 :337-347
[3]   Multi-criteria group consensus under linear cost opinion elasticity [J].
Ben-Arieh, D. ;
Easton, T. .
DECISION SUPPORT SYSTEMS, 2007, 43 (03) :713-721
[4]   Linguistic-labels aggregation and consensus measure for autocratic decision making using group recommendations [J].
Ben-Arieh, David ;
Chen, Zhifeng .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (03) :558-568
[5]   Minimum Cost Consensus With Quadratic Cost Functions [J].
Ben-Arieh, David ;
Easton, Todd ;
Evans, Brandon .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2009, 39 (01) :210-217
[6]   A Personalized Consensus Feedback Mechanism Based on Maximum Harmony Degree [J].
Cao, Mingshuo ;
Wu, Jian ;
Chiclana, Francisco ;
Urena, Raquel ;
Herrera-Viedma, Enrique .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (10) :6134-6146
[7]   A peer-to-peer dynamic adaptive consensus reaching model for the group AHP decision making [J].
Dong, Qingxing ;
Cooper, Orrin .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 250 (02) :521-530
[8]   An analytic hierarchy process model of group consensus [J].
Dong, Qingxing ;
Saaty, Thomas L. .
JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING, 2014, 23 (03) :362-374
[9]   Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors [J].
Dong, Yucheng ;
Zhang, Hengjie ;
Herrera-Viedma, Enrique .
DECISION SUPPORT SYSTEMS, 2016, 84 :1-15
[10]   Consensus building in multiperson decision making with heterogeneous preference representation structures: A perspective based on prospect theory [J].
Dong, Yucheng ;
Luo, Nan ;
Liang, Haiming .
APPLIED SOFT COMPUTING, 2015, 35 :898-910