Skip to main content
padlock icon - secure page this page is secure

An Improved Choquet Integral Composition Forecasting Model Based on H-Measure and O-Density

Buy Article:

$106.34 + tax (Refund Policy)

In this paper, based on H-measure and O-density, a novel Choquet integral composition forecasting model is proposed. For evaluating this improved composition forecasting model, an experiment with a real data by using the 5 fold cross validation mean square error is conducted. The performances of Choquet integral composition forecasting model with the H-measure, extensional L-measure, L-measure, Lambda-measure and P-measure, respectively, based on O-density and N-density respectively, a ridge regression composition forecasting model and a multiple linear regression composition forecasting model and the traditional linear weighted composition forecasting model were compared. The experimental results showed that the Choquet integral composition forecasting model with respect to the H-measure and O-density outperforms others.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: November 1, 2013

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more