Most existing high-order prediction models abstract logical rules that are based on historical discrete states without considering historical inconsistency and

This book shows the potential of entropy and information theory in forecasting, including both theoretical developments and empirical applications. The contents

In time series forecasting, information presentation directly affects prediction efficiency. Most existing time series forecasting models follow logical rules a

This book contains 37 papers by 73 renowned experts from 13 countries around the world, on following topics: neutrosophic set; neutrosophic rings; neutrosophic

This research introduces a neutrosophic forecasting approach based on neutrosophic time series (NTS). Historical data can be transformed into neutrosophic time