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A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry
8 references·5 citing·44 second hop
A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry (2005)A hybrid model by clustering and evolving…Evolving neural network for printed circuit board sales forecasting (2005)Evolving neural network for p…A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm (2001)A sales forecasting system ba…A neural network model to forecast Japanese demand for travel to Hong Kong (1999)A neural network model to for…A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights (1998)A decision support system for…Fuzzy sets (1996)Fuzzy setsA hybrid econometric—neural network modeling approach for sales forecasting (1996)A hybrid econometric—neural n…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Fuzzy sets (1965)Fuzzy setsTriple bottom line accounting for optimizing natural gas sustainability: A statistical linear programming fuzzy ILOWA optimized sustainment model approach to reducing supply chain global cybersecurity vulnerability through information and communications technology (2016)Triple bottom line accounting…Sales forecasting by combining clustering and machine-learning techniques for computer retailing (2016)Sales forecasting by combinin…Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting (2014)Fuzzy artificial neural netwo…An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board (2011)An improved sales forecasting…Exploring business opportunities from mobile services data of customers: An inter-cluster analysis approach (2009)Exploring business opportunit…Forecasting tourism demand: A review of empirical research (1995)Earthquake devastation and recovery in tourism: the Taiwan case (2002)Designing an artificial neural network for forecasting tourism time series (2005)Effects of user-provided photos on hotel review helpfulness: An analytical approach with deep leaning (2017)A TSK type fuzzy rule based system for stock price prediction (2006)A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization (2017)Sales-forecasting of Retail Stores using Machine Learning Techniques (2018)Predictive Analysis for Big Mart Sales Using Machine Learning Algorithms (2021)The Structure of "Unstructured" Decision Processes (1976)The New Science of Management Decision (1978)Econometric Models and Economic Forecasts (1990)Multi-step sales forecasting in automotive industry based on structural relationship identification (2012)Application of artificial neural network for fuzzy logic based leanness assessment (2013)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting (2010)A multivariate intelligent decision-making model for retail sales forecasting (2013)Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry (2022)An Experimental Application of the DELPHI Method to the Use of Experts (1963)The max-min Delphi method and fuzzy Delphi method via fuzzy integration (1993)ABELL F. Dereck, Defining The Business. The Starting Point of Strategic Planning . USA, Prentice Hall, Englewood Cliffs, New Jersey, 1980. 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A review and evaluation (1998)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Literature review: Machine learning techniques applied to financial market prediction (2019)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1996Fuzzy sets46,880 cited
  • 1990Stock market prediction system with modular neural networks654 cited
  • 1999A neural network model to forecast Japanese demand for travel to Hong Kong309 cited
  • 2001A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm171 cited
  • 1998A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights121 cited
  • 1996A hybrid econometric—neural network modeling approach for sales forecasting106 cited
  • 2005Evolving neural network for printed circuit board sales forecasting95 cited

Cited by

  • 2016Sales forecasting by combining clustering and machine-learning techniques for computer retailing71 cited
  • 2011An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board63 cited
  • 2016Triple bottom line accounting for optimizing natural gas sustainability: A statistical linear programming fuzzy ILOWA optimized sustainment model approach to reducing supply chain global cybersecurity vulnerability through information and communications technology61 cited
  • 2014Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting46 cited
  • 2009Exploring business opportunities from mobile services data of customers: An inter-cluster analysis approach

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34 cited