Using interval information granules to improve forecasting in fuzzy time series
type: Item
instance of: scholarly article
title: Using interval information granules to improve forecasting in fuzzy time series
zbMATH Open document ID: 1337.62306
author: Yanyan Li
published in: International Journal of Approximate Reasoning
publication date: 2015-05-06T00:00:00Z
Mathematics Subject Classification ID: 62M86
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 6433867
zbMATH Keywords: fuzzy time series
zbMATH Keywords: interval granules
zbMATH Keywords: unequal-sized intervals
zbMATH Keywords: forecasting
MaRDI profile type: Publication
full work available at URL: j.ijar.2014.11.002
OpenAlex ID: W1979464351
cites work: Interval analysis: Theory and applications
cites work: Q4791395
cites work: A model of granular data: a design problem with the Tchebyschev FCM
cites work: FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES
cites work: A new approach based on the optimization of the length of intervals in fuzzy time series
cites work: Effective lengths of intervals to improve forecasting in fuzzy time series
cites work: Heuristic models of fuzzy time series for forecasting
cites work: Q5293580
cites work: Introduction to Interval Analysis
cites work: Rough sets
cites work: Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
cites work: Fuzzy time series and its models
cites work: Q3874122
cites work: Fuzzy sets
cites work: Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
cites work: From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions
DOI: 10.1016/J.IJAR.2014.11.002
description: scientific article