Wei Lu

Demand forecasting based on natural computing approaches applied to the foodstuff retail segment

A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech-based clean energy investment projects

State-of-the-art in artificial neural network applications: A survey

Multiagent off-screen behavior prediction in football

WGC: Hybridization of exponential grey wolf optimizer with whale optimization for data clustering

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Modeling Renewable Energy Systems by a Self-Evolving Nonlinear Consequent Part Recurrent Type-2 Fuzzy System for Power Prediction

A novel hybrid decision making approach for the strategic selection of wind energy projects

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014

A review on methods and software for fuzzy cognitive maps

A Review of Deep Learning Models for Time Series Prediction

Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects

Application of fuzzy analytic network process for agile concept selection in a manufacturing organisation

Cluster analysis using optimization algorithms with newly designed objective functions

An interval weighed fuzzy c-means clustering by genetically guided alternating optimization

The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering

The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series

Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values

Concept selection for market potential using fuzzy selection approach

Numerical Prediction of Time Series Based on FCMs with Information Granules