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Using adaptive network-based fuzzy inference system to forecast automobile sales · Study

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ArticleUsing adaptive network-based fuzzy inference system to forecast automobile sales

Fu‐Kwun Wang2011

Article2011

Using adaptive network-based fuzzy inference system to forecast automobile sales

Fu‐Kwun Wang · Ku-Kuang Chang · Chih-Wei Tzeng

89 citations·0/0 files stored·Expert Systems with Applications

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Forecasting Techniques and Applications Fuzzy Logic and Control Systems Stock Market Forecasting Methods

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References

1979Product life cycle research: A literature review 1999Urban mobility in the developing world 1998An Analysis of Product Lifetimes in a Technologically Dynamic Industry 1997Automobile ownership and government policy: The economics of Singapore's vehicle quota scheme 1978Long-Term Forecasting of Vehicle Ownership and Road Traffic

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2012Multi-step sales forecasting in automotive industry based on structural relationship identification 2017Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China 2021Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies 2020ForeXGBoost: passenger car sales prediction based on XGBoost 2023Innovating knowledge and information for a firm-level automobile demand forecast system: A machine learning perspective 2019Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres 2017Forecasting Monthly Sales Retail Time Series: A Case Study

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Year2011

Typearticle

Published2011-02-12

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations89

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.eswa.2011.02.100

openalex_workW1982946449

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2022

A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series