Some Interval 2-Tuple Linguistic Harmonic Mean Operators and Their Application in Material Selection

Autor: Meng-Meng Shan, Jian-Xin You, Hu-Chen Liu
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Advances in Materials Science and Engineering, Vol 2016 (2016)
Druh dokumentu: article
ISSN: 1687-8434
1687-8442
DOI: 10.1155/2016/7034938
Popis: We investigate the multiple attribute group material selection problems in which the attribute values take the form of interval 2-tuple linguistic information. Firstly, some operational laws and possibility degree of interval 2-tuple linguistic variables are introduced. Then, we develop some interval 2-tuple linguistic aggregation operators called interval 2-tuple hybrid harmonic mean (ITHHM) operator, induced interval 2-tuple ordered weighted harmonic mean (I-ITOWHM) operator, and induced interval 2-tuple hybrid harmonic mean (I-ITHHM) operator and study some desirable properties of the I-ITOWHM operator. In particular, all these operators can be reduced to aggregate 2-tuple linguistic variables. Based on the I-ITHHM and the ITWHM (interval 2-tuple weighted harmonic mean) operators, an approach to multiple attribute group decision-making with interval 2-tuple linguistic information is proposed. Finally, a practical application to material selection problem is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Databáze: Directory of Open Access Journals