4.6 Article

Methods for Evaluating the Technological Innovation Capability for the High-Tech Enterprises With Generalized Interval Neutrosophic Number Bonferroni Mean Operators

Journal

IEEE ACCESS
Volume 7, Issue -, Pages 86473-86492

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2925702

Keywords

Multiple attribute decision making (MADM); interval neutrosophic numbers (INNs); generalized weighted BM (GWBM) operator; generalized weighted geometric Bonferroni mean (GWGBM) operator; technological innovation capability; high-tech enterprises

Funding

  1. National Natural Science Foundation of China [71571128]
  2. Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [16YJA840008]

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As we all know, the Bonferroni mean (BM) operator has the advantage of considering interrelationships between parameters. In this paper, we combine the generalized weighted BM (GWBM) operator and generalized weighted Bonferroni geometric mean (GWGBM) operator with interval neutrosophic numbers (INNs) to develop the generalized interval neutrosophic number weight BM (GINNWBM) operator and generalized interval neutrosophic numbers weighted GBM (GINNWGBM) operator which consider the relationship among three aggregated arguments, then the MADM methods are developed with these operators. Finally, we use an example for evaluating the technological innovation capability for the high-tech enterprises to illustrate the proposed methods.

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