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


Buy Article:

$60.00 + tax (Refund Policy)

The present study proposes integration of cumulative probability distribution approach for partitioning the universe of discourse along with intuitionistic fuzzy sets to include a nondeterminacy index to enhance the accuracy in forecasted values in fuzzy time series forecasting. The proposed model is a simplified computational approach that uses characteristics of normal distribution to define the length of a linguistic interval and the degree of nondeterminacy to establish fuzzy logical relations on the time series data. The proposed method has been implemented to forecast the movement of share market prices of State Bank of India on the Bombay Stock Exchange, India. The suitability of the developed model has been examined in comparison with other models in terms of mean square and average forecasting errors to show its superiority.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Lilliefors test; cumulative probability distribution approach; fuzzy logical relations; fuzzy time series; intuitionistic fuzzy sets; nondeterminacy

Document Type: Research Article

Affiliations: Department of Mathematics, Statistics & Computer Science, G. B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India

Publication date: May 19, 2014

More about this publication?
  • 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
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