Evaluation of scientific publications with hesitant fuzzy uncertain linguistic and semantic information

被引：3
作者：
Xu, Hao [1 ]
Xing, Lining [2 ]
Huang, Lan [1 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
[2] Natl Univ Def Technol, Coll Informat Syst & Management, Dept Management Sci & Engn, Changsha, Hunan, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2015年 / 29卷 / 06期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Multiple attribute decision-making; hesitant fuzzy uncertain linguistic values; scientific publications; GROUP DECISION-MAKING; AGGREGATION OPERATORS; HYBRID APPROACH;
D O I：
10.3233/IFS-151977
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2737 / 2742
页数：6
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