Paper Info
Title
GRA method for waste incineration plants location problem with probabilistic linguistic multiple attribute group decision making
Abstract
In this paper, we provide the probabilistic linguistic multiple attribute group decision making (PL-MAGDM) with incomplete weight information. In such method, the linguistic information firstly is shifted into probabilistic linguistic information. For obtaining the weight information of the attribute, two optimization models are built on the basis of the basic idea of grey relational analysis (GRA), by which the attribute weights can be obtained. Then, the optimal alternative is obtained through calculating largest relative relational degree from the probabilistic linguistic positive ideal solution (PLPIS) which considers both the largest grey relational coefficient (GRC) from the PLPIS and the smallest GRC form probabilistic linguistic negative ideal solution (PLNIS). Finally, a case study for waste incineration plants location problem is given to demonstrate the advantages of the developed methods.
Year
DOI
Venue
2020
10.3233/JIFS-191443
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
multiple attribute group decision making (MAGDM),probabilistic linguistic term sets (PLTSs),GRA method,incomplete weight information,waste incineration plants
Journal
39
Issue
ISSN
Citations 
3
1064-1246
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Fan Lei112.71
Jianping Lu223.74
Guiwu Wei33568107.94
Jiang Wu402.37
Cun Wei5510.52
Yanfeng Guo623.06