Affiliation:
1. Institute of EduInfo Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu 210097, China
2. School of Software & Microelectronics, Peking University, Beijing 100741, China
Abstract
The fractional nonlinear grey Bernoulli model, abbreviated as FANGBM(1,1), is a successful extension of NGBM(1,1). Although FANGBM(1,1) has numerous excellent characteristics, it has a more complex form of fractional accumulation (FA) operator than raw NGBM(1,1). In this study, we propose a novel fractional nonlinear grey Bernoulli model, named CFNGBM(1,1), which uses conformable fractional accumulation (CFA), which has a simpler form than FANGBM. Using two practical cases, the effectiveness of the proposed CFNGBM(1,1) in practical applications was illustrated. Results show that the CFNGBM(1,1) exhibited higher accuracy than other grey models, thus facilitating its promotion in engineering practices.
Funder
Postgraduate Research & Practice Innovation Program of Jiangsu Province
Subject
Multidisciplinary,General Computer Science
Cited by
7 articles.
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