Title
Evaluation of scientific publications with hesitant fuzzy uncertain linguistic and semantic information
Abstract
Scientific and technological papers play a fundamental role in the scientific and technological innovation of countries. The quality control of scientific and technological articles is vital to the journals and management of personnel. This paper investigates multiple attribute decision-making problems with the application of hesitant fuzzy uncertain linguistic information. Motivated by the ideal traditional I-COA operator, an induced hesitant fuzzy uncertain linguistic correlated averaging (IHFULCA) operator is developed. The IHFULCA operator was used to develop approaches to solve hesitant fuzzy uncertain linguistic multiple attribute decision-making problems. Finally, a practical example for evaluating the academic value of scientific and technological papers is provided to verify the developed approach and demonstrate its practicality and effectiveness.
Year
DOI
Venue
2015
10.3233/IFS-151977
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Multiple attribute decision-making,hesitant fuzzy uncertain linguistic values,scientific publications
Rule-based machine translation,Fuzzy logic,Semantic information,Operator (computer programming),Linguistics,Mathematics
Journal
Volume
Issue
ISSN
29
6
1064-1246
Citations 
PageRank 
References 
1
0.35
20
Authors
3
Name
Order
Citations
PageRank
Hao Xu1136.30
Lining Xing2168.51
Lan Huang344.13