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An improved grey group decision-making approach
- Source :
- Applied Soft Computing. 76:78-88
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- In complex group decision-making, decision makers and decision attributes are the core of the relevant activities. Targeting the problem of scheme ranking and behavioural characteristics that exist in group decision-making, from the perspective of group negotiation and decision-making system coordination, by exploiting the grey target and grey relation analysis, this paper establishes a novel grey group decision-making approach. We define a group measure matrix of scheme, consensus ideal scheme, and decision-making resource coefficient. Then, by borrowing Nash’s bargaining idea, and maximizing group negotiation satisfaction and minimizing system coordination deviation, we construct a two-step optimization model to solve for the group consensus ideal scheme and its measure value matrix. In addition, we take decision-making schemes as research objects; and from the two dimensions of decision maker and attribute, we characterize and measure the closeness degree of decision maker information and attribute information by using the distance between the group measure matrices of scheme and consensus ideal scheme, so that we are able to construct a novel grey scheme matrix similar incidence analysis model. Lastly, we take the group decision-making problem of selecting the location of a garbage disposal station as a case analysis, and explore the economic significance and theoretical value of the model.
- Subjects :
- Mathematical optimization
Ideal (set theory)
Relation (database)
Group (mathematics)
Computer science
020209 energy
media_common.quotation_subject
Closeness
02 engineering and technology
Measure (mathematics)
Group decision-making
Negotiation
Ranking
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Software
media_common
Subjects
Details
- ISSN :
- 15684946
- Volume :
- 76
- Database :
- OpenAIRE
- Journal :
- Applied Soft Computing
- Accession number :
- edsair.doi...........d5e19549d3788a3dc5087606838c8ec5
- Full Text :
- https://doi.org/10.1016/j.asoc.2018.12.010