A note on “Picture 2-tuple linguistic aggregation operators in multiple attribute decision making”

Yanbing Ju*, Dawei Ju, Aihua Wang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)
    Plum Print visual indicator of research metrics
    • Citations
      • Citation Indexes: 11
    • Captures
      • Readers: 14
    see details

    Abstract

    By combining picture fuzzy set and 2-tuple linguistic representation model, Wei et al. (Soft Comput 22(3):989–1002, 2018) proposed the concept of picture 2-tuple linguistic set and presented some operational laws of picture 2-tuple linguistic numbers (P2TLNs). On the basis of operational laws of P2TLNs, some picture 2-tuple linguistic aggregation operators have been further developed. However, some operational laws and results derived by aggregation operators proposed by Wei et al. (Soft Comput 22(3):989–1002, 2018) are conflict with definition of picture 2-tuple linguistic number (P2TLN). In this short note, we propose some novel operational laws of P2TLNs and develop one adjusted picture 2-tuple linguistic aggregation operator, i.e., the adjusted picture 2-tuple linguistic weighted averaging operator.

    Original languageEnglish
    Pages (from-to)3937-3941
    Number of pages5
    JournalSoft Computing
    Volume24
    Issue number6
    DOIs
    Publication statusPublished - 1 Mar 2020

    Keywords

    • Adjusted picture 2-tuple linguistic weighted averaging operator
    • Operational laws of picture 2-tuple linguistic numbers
    • Picture 2-tuple linguistic set

    Fingerprint

    Dive into the research topics of 'A note on “Picture 2-tuple linguistic aggregation operators in multiple attribute decision making”'. Together they form a unique fingerprint.

    Cite this

    Ju, Y., Ju, D., & Wang, A. (2020). A note on “Picture 2-tuple linguistic aggregation operators in multiple attribute decision making”. Soft Computing, 24(6), 3937-3941. https://doi.org/10.1007/s00500-019-04162-5