𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A comparison of fuzzy forecasting and Markov modeling

✍ Scribed by Joe Sullivan; William H. Woodall


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
946 KB
Volume
64
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Application of Grey-Markov Model in Fore
✍ MAO Zhan-li; SUN Jin-hua πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier 🌐 English βš– 127 KB

Fire accidents are influenced by many complex factors, and it has the characteristic of both randomicity and fluctuation, so a new forecasting model (Grey-Markov model) was established in order to forecast fire accidents effectively in this paper, which has the merits of both GM (1, 1) forecast mode

Fuzzy regression model with fuzzy input
✍ Hong Tau Lee; Sheu Hua Chen πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 113 KB

In modeling a fuzzy system with fuzzy linear functions, the vagueness of the fuzzy output data may be caused by both the indeΓΏniteness of model parameters and the vagueness of the input data. This situation occurs as the input data are envisaged as facts or events of an observation which are uncontr