Bipolar neutrosophic WINGS for green technology innovation DOI Creative Commons

Yuan Tian,

Tianjian Li,

Kecheng Zhang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: July 27, 2023

Abstract Green technology innovation is a crucial assurance of achieving sustainable economic and environmental development, so improving the capability green an urgent problem. In order to provide more objective accurate tool for identifying most important impact factor innovation, this study innovatively proposes new method by combining bipolar neutrosophic sets with Weighted Influence Nonlinear Gauge System (WINGS) method. Furthermore, paper intends recommendations in capability. We invite five experts evaluate fifteen factors influencing using linguistic variables. Then, proposed set WINGS (Bipolar NS-WINGS) applied measure influence each innovation. Finally, we divide all into cause group effect group. Moreover, network relation map constructed visualize interrelationships between factors. The Bipolar NS-WINGS suggests that Science Technology Innovation Environment (Ω 7 ) result also indicates R&D Investment 8 influential which it has impacted many other It obvious integrated not only enriches research field decision theory, combined bipolar-NS analyzing relationships factors, but contributes improvement capabilities.

Language: Английский

Bipolar neutrosophic WINGS for green technology innovation DOI Creative Commons

Yuan Tian,

Tianjian Li,

Kecheng Zhang

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: July 27, 2023

Abstract Green technology innovation is a crucial assurance of achieving sustainable economic and environmental development, so improving the capability green an urgent problem. In order to provide more objective accurate tool for identifying most important impact factor innovation, this study innovatively proposes new method by combining bipolar neutrosophic sets with Weighted Influence Nonlinear Gauge System (WINGS) method. Furthermore, paper intends recommendations in capability. We invite five experts evaluate fifteen factors influencing using linguistic variables. Then, proposed set WINGS (Bipolar NS-WINGS) applied measure influence each innovation. Finally, we divide all into cause group effect group. Moreover, network relation map constructed visualize interrelationships between factors. The Bipolar NS-WINGS suggests that Science Technology Innovation Environment (Ω 7 ) result also indicates R&D Investment 8 influential which it has impacted many other It obvious integrated not only enriches research field decision theory, combined bipolar-NS analyzing relationships factors, but contributes improvement capabilities.

Language: Английский

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