2019
DOI: 10.2991/ijcis.d.191203.002
|View full text |Cite
|
Sign up to set email alerts
|

GRA Method for Probabilistic Linguistic Multiple Attribute Group Decision Making with Incomplete Weight Information and Its Application to Waste Incineration Plants Location Problem

Abstract: Multiple attribute group decision making (MAGDM) Probabilistic linguistic term sets (PLTSs) GRA method Incomplete weight information Waste incineration plants A B S T R A C TIn this essay, we investigate the probabilistic linguistic multiple attribute group decision making (PL-MAGDM) with incomplete weight information. In this method, the linguistic representation developed recently is converted into probabilistic linguistic information. For deriving the weight information of the attribute, an optimization mod… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
9

Relationship

4
5

Authors

Journals

citations
Cited by 26 publications
(9 citation statements)
references
References 67 publications
0
9
0
Order By: Relevance
“…How to increase the evaluation index, and how to accurately assess the indicators and compare with other methods such as DEA [4] and the P2TLN-Taxonomy [85] are interesting topics for our future studies. At the same time, the proposed models and algorithms could also been extended to other evaluation issues in social domains [86][87][88][89][90][91][92] as well as other applicable issues [91][92][93][94][95].…”
Section: Discussionmentioning
confidence: 99%
“…How to increase the evaluation index, and how to accurately assess the indicators and compare with other methods such as DEA [4] and the P2TLN-Taxonomy [85] are interesting topics for our future studies. At the same time, the proposed models and algorithms could also been extended to other evaluation issues in social domains [86][87][88][89][90][91][92] as well as other applicable issues [91][92][93][94][95].…”
Section: Discussionmentioning
confidence: 99%
“…Khan, Lohani and Ieee [9] put forward a novel similarity measure about IFNs depending on the distance measure of a double sequence of a bounded variation. Li et al [10] developed a grey target decision-making method in the form of IFNs on the basis of grey relational analysis [11]. Chen et al [12] developed a novel MCDM (Multiple Criteria Decision Making) method on the basis of the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method and similarity measures in the context of intuitionistic fuzzy.…”
Section: Introductionmentioning
confidence: 99%
“…31 Studies on the probabilistic linguistic preference relations (PLPRs) [32][33][34][35][36][37] also emerged. Due to the advantages of simultaneously representing linguistic evaluation and preference information, PLTSs 20,[38][39][40][41][42] and its extended sets [43][44][45][46][47][48] were widely used in GDM.…”
Section: Introductionmentioning
confidence: 99%