Suscripción a Biblioteca: Guest
Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones
International Journal for Uncertainty Quantification
Factor de Impacto: 4.911 Factor de Impacto de 5 años: 3.179 SJR: 1.008 SNIP: 0.983 CiteScore™: 5.2

ISSN Imprimir: 2152-5080
ISSN En Línea: 2152-5099

Acceso abierto

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.2018021197
pages 361-382

INTERVAL-VALUED DUAL HESITANT FUZZY INFORMATION AGGREGATION AND ITS APPLICATION IN MULTIPLE ATTRIBUTE DECISION MAKING

Xindong Peng
School of Information Sciences and Engineering, Shaoguan University, Shaoguan, 521005, China
Jingguo Dai
School of Information Sciences and Engineering, Shaoguan University, Shaoguan, 521005, China
Lin Liu
School of Information Sciences and Engineering, Shaoguan University, Shaoguan, 521005, China

SINOPSIS

In this paper, we investigate the multiple attribute decision making (MADM) problems in which the attribute values take the form of interval-valued dual hesitant fuzzy elements (IVDHFEs). The existing t-norms and t-conorms, including the algebraic, Einstein, Frank and Hamacher t-norms and t-conorms, can be regarded as special cases of Archimedean t-norm and t-conorm. Firstly, we develop some new operational laws for IVDHFEs based on the Archimedean t-norm and t-conorm. Then, based on the operational laws, we define some interval-valued dual hesitant fuzzy aggregation operators and their generalizations are also introduced, and some desirable properties and the relationships of these operators are discussed in detail. Later, according to the Choquet integral and Archimedean t-norm and t-conorm, we propose some interval-valued dual hesitant fuzzy Choquet operators, such as interval-valued dual hesitant fuzzy Choquet ordered average (IVDHFCOA) operator and interval-valued dual hesitant fuzzy Choquet ordered geometric (IVDHFCOG) operator. Furthermore, we develop an approach to MADM under interval-valued dual hesitant fuzzy environment. Finally, an illustrative example for selecting a software development project is given to verify the developed method and to demonstrate its practicality and effectiveness.


Articles with similar content:

HESITANT TRAPEZOIDAL FUZZY AGGREGATION OPERATORS BASED ON ARCHIMEDEAN t-NORM AND t-CONORM AND THEIR APPLICATION IN MADM WITH COMPLETELY UNKNOWN WEIGHT INFORMATION
International Journal for Uncertainty Quantification, Vol.7, 2017, issue 6
Xindong Peng
HESITANT LINGUISTIC INTUITIONISTIC FUZZY SETS AND THEIR APPLICATION IN MULTICRITERIA DECISION-MAKING PROBLEMS
International Journal for Uncertainty Quantification, Vol.8, 2018, issue 4
Xiao-Kang Wang, Hong-Gang Peng, Jian-Qiang Wang
HESITANT PYTHAGOREAN FUZZY SETS AND THEIR AGGREGATION OPERATORS IN MULTIPLE ATTRIBUTE DECISION-MAKING
International Journal for Uncertainty Quantification, Vol.8, 2018, issue 3
Harish Garg
AN IMPROVED SCORE FUNCTION FOR RANKING NEUTROSOPHIC SETS AND ITS APPLICATION TO DECISION-MAKING PROCESS
International Journal for Uncertainty Quantification, Vol.6, 2016, issue 5
Harish Garg, Nancy
INTERVAL NEUTROSOPHIC MUIRHEAD MEAN OPERATORS AND THEIR APPLICATION IN MULTIPLE ATTRIBUTE GROUP DECISION-MAKING
International Journal for Uncertainty Quantification, Vol.7, 2017, issue 4
Peide Liu, Xinli You