๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Fuzzy time series and its models

โœ Scribed by Qiang Song; Brad S. Chissom


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
555 KB
Volume
54
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Fuzzy stochastic fuzzy time series and i
โœ Qiang Song; Robert P. Leland; Brad S. Chissom ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 598 KB

In this paper, as an extension of the concept of time series, we will present the definition and models of fuzzy stochastic fuzzy time series (FSFTS), both of whose values and probabilities with which the FSFTS assumes its values are fuzzy sets, and which may not be modeled properly by the concept o

Fuzzy relation analysis in fuzzy time se
โœ Ruey-Chyn Tsaur; Jia-Chi O Yang; Hsiao-Fan Wang ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 606 KB

Fuzzy relation is a crucial connector in presenting fuzzy time series model. However, how to obtain a fuzzy relation matrix to represent a time-invaxiant relation is still a question. Based on the concept of fuzziness in Information Theory, the concept of entropy is applied to measure the degrees of

Deterministic fuzzy time series model fo
โœ Sheng-Tun Li; Yi-Chung Cheng ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 616 KB

The fuzzy time series has recently received increasing attention because of its capability of dealing with vague and incomplete data. There have been a variety of models developed to either improve forecasting accuracy or reduce computation overhead. However, the issues of controlling uncertainty in