๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Forecasting the leading index using fuzzy linguistic prediction

โœ Scribed by Ding-An Chiang; Yi-Fan Wang; Yi-Hsin Wang; Yu-Liang Chuang


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
112 KB
Volume
18
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

โœฆ Synopsis


We propose a fuzzy linguistic prediction method for improving fuzzy random prediction. It uses the bit map summary to determine the trend of objects rising or falling and then uses the fuzzy linguistic summary to compute the parameter of fuzzy random prediction. To show how this method works, we use it to predict the present Taiwan leading index, which gives the economic trend for the next 3 months. By further predicting the leading indices of months that follow, we can forecast the economic trend for the next year.


๐Ÿ“œ SIMILAR VOLUMES


Learning cooperative linguistic fuzzy ru
โœ Jorge Casillas; Oscar Cordรณn; Iรฑaki Fernรกndez de Viana; Francisco Herrera ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 311 KB

Within the field of linguistic fuzzy modeling with fuzzy rule-based systems, the automatic derivation of the linguistic fuzzy rules from numerical data is an important task. In the last few years, a large number of contributions based on techniques such as neural networks and genetic algorithms have

Modeling the retrieval process for an in
โœ E. Herrera-Viedma ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 170 KB ๐Ÿ‘ 2 views

A linguistic model for an Information Retrieval System (IRS) defined using an ordinal fuzzy linguistic approach is proposed. The ordinal fuzzy linguistic approach is presented, and its use for modeling the imprecision and subjectivity that appear in the user-IRS interaction is studied. The user quer

An approach to the linguistic summarizat
โœ Janusz Kacprzyk; Anna Wilbik; Sล‚awomir Zadroลผny ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 435 KB

We extend our previous work on the linguistic summarization of time series data meant as the linguistic summarization of trends, i.e. consecutive parts of the time series, which may be viewed as exhibiting a uniform behavior under an assumed (degree of) granulation, and identified with straight line

Prediction of outcome using the Mannheim
โœ Dr A. Billing; D. Frรถhlich ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 378 KB ๐Ÿ‘ 1 views

## Abstract Early prognostic evaluation of abdominal sepsis is desirable to select high-risk patients for more aggressive therapeutic procedures and to provide objective classification of the severity of disease. The reliability of the Mannheim peritonitis index was assessed and its predictive powe

Vector smooth transition regression mode
โœ Maximo Camacho ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 193 KB

## Abstract In this paper, I extend to a multipleโ€equation context the linearity, model selection and model adequacy tests recently proposed for univariate smooth transition regression models. Using this result, I examine the nonlinear forecasting power of the Conference Board composite index of le