Ditapis dengan
Bivariate Long Term Fuzzy Time Series Forecasting of Dry Cargo Freight Rates
This paper proposes a bivariate long term fuzzy inference system for time series forecasting task in the field of freight market. Fuzzy time series methods are applied by many scholars and it is broadly accepted pattern recognition and forecasting tool. Previous studies mainly establish algorithms for high frequency time series data such as daily and monthly intervals. The proposed model perfor…
- Edisi
- Volume 26 Number 2 December 2010 pp. 205-223
- ISBN/ISSN
- -
- Deskripsi Fisik
- 205 p.
- Judul Seri
- The Assian Journal of Shipping and Logistics
- No. Panggil
- ATC LO DUR b C.1
Long Term Freight Market Index and Inferences
This paper proposes to establish a long term shipping freight index for dry cargo transportation and investigates its particulars among the cyclic fluctuations. Many scholars investigated dry cargo shipping markets and some of them attempted to construct a composite index of freight rates. Although, several critiques are indicated about the method of composition, these indices depicted long ter…
- Edisi
- Volume 27 Number 3 December 2011 pp. 405-422
- ISBN/ISSN
- -
- Deskripsi Fisik
- 18 p.
- Judul Seri
- Long Term Freight Market Index and Inferences
- No. Panggil
- ATC LO DUR l
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