Title
Study on 2-tuple linguistic assessment method based on grey cluster with incomplete attribute weight information
Abstract
Grey cluster decision-making is an important part of grey system theory. And 2-tuple linguistic assessment resolves the calculation problems of the result of expert qualitative linguistic assessment. But both of them not mention how to calculate the weight of index. Based on the definitions of entropy, a method of getting weight is proposed, and considers the character of grey cluster decision-making and 2-tuple linguistic assessment, this paper proposed the method of 2-tuple linguistic assessment based on grey cluster. It can combine qualitative analysis and quantitative analysis well.
Year
DOI
Venue
2009
10.1109/ICSMC.2009.5346082
SMC
Keywords
Field
DocType
computational linguistics,important part,fuzzy set theory,incomplete attribute weight information,pattern clustering,grey systems,2-tuple linguistic,decision making,entropy definition,2-tuple linguistic assessment,grey cluster,qualitative analysis,2-tuple linguistic assessment method,calculation problem,set theory,expert qualitative linguistic assessment,linguistic assessment,decision theory,quantitative analysis,grey system theory,entropy,entropy weight,grey cluster decision-making,incomplete attribute index weight information,data mining,silicon,modeling,indexation,indexes
Set theory,Data mining,Computer science,Tuple,Pattern clustering,Computational linguistics,Fuzzy set,Artificial intelligence,Decision theory,Linguistics,Machine learning,Gray (horse)
Conference
ISSN
ISBN
Citations 
1062-922X E-ISBN : 978-1-4244-2794-9
978-1-4244-2794-9
1
PageRank 
References 
Authors
0.39
4
5
Name
Order
Citations
PageRank
Chuanmin Mi11311.46
Liu Sifeng2457111.66
Yaoguo Dang33012.14
Jiangling Wang410.39
Zhengpeng Wu5275.62