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

被引：32

作者：

Wei, Guiwu ^{[1
]}

Wang, Rui ^{[1
]}

Wang, Jie ^{[1
]}

Wei, Cun ^{[2
]}

Zhang, Yi ^{[3
]}

机构：

[1] Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China

[2] Southwestern Univ Finance & Econ, Sch Stat, Chengdu 611130, Sichuan, Peoples R China

[3] Southwest Univ Polit Sci & Law, Business Sch, Chongqing 401120, Peoples R China

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

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; GROUP DECISION-MAKING; AGGREGATION OPERATORS; CORRELATION-COEFFICIENT; SETS; MODELS; INFORMATION;

D O I：

10.1109/ACCESS.2019.2925702

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：86473 / 86492

页数：20