Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models
Forecasting the unit cost of every product type in a factory is an important task. However, it is not easy to deal with the uncertainty of the unit cost. Fuzzy collaborative forecasting is a very effective treatment of the uncertainty in the distributed environment. This paper presents some linear f...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2012-10-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/5/4/449 |
_version_ | 1818582083658842112 |
---|---|
author | Toly Chen |
author_facet | Toly Chen |
author_sort | Toly Chen |
collection | DOAJ |
description | Forecasting the unit cost of every product type in a factory is an important task. However, it is not easy to deal with the uncertainty of the unit cost. Fuzzy collaborative forecasting is a very effective treatment of the uncertainty in the distributed environment. This paper presents some linear fuzzy collaborative forecasting models to predict the unit cost of a product. In these models, the experts’ forecasts differ and therefore need to be aggregated through collaboration. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through collaboration. |
first_indexed | 2024-12-16T07:43:45Z |
format | Article |
id | doaj.art-32c5cd662eb44bf78fec723b2227e740 |
institution | Directory Open Access Journal |
issn | 1999-4893 |
language | English |
last_indexed | 2024-12-16T07:43:45Z |
publishDate | 2012-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Algorithms |
spelling | doaj.art-32c5cd662eb44bf78fec723b2227e7402022-12-21T22:39:00ZengMDPI AGAlgorithms1999-48932012-10-015444946810.3390/a5040449Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting ModelsToly ChenForecasting the unit cost of every product type in a factory is an important task. However, it is not easy to deal with the uncertainty of the unit cost. Fuzzy collaborative forecasting is a very effective treatment of the uncertainty in the distributed environment. This paper presents some linear fuzzy collaborative forecasting models to predict the unit cost of a product. In these models, the experts’ forecasts differ and therefore need to be aggregated through collaboration. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through collaboration.http://www.mdpi.com/1999-4893/5/4/449fuzzy collaborative forecastingunit cost |
spellingShingle | Toly Chen Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models Algorithms fuzzy collaborative forecasting unit cost |
title | Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models |
title_full | Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models |
title_fullStr | Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models |
title_full_unstemmed | Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models |
title_short | Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models |
title_sort | forecasting the unit cost of a product with some linear fuzzy collaborative forecasting models |
topic | fuzzy collaborative forecasting unit cost |
url | http://www.mdpi.com/1999-4893/5/4/449 |
work_keys_str_mv | AT tolychen forecastingtheunitcostofaproductwithsomelinearfuzzycollaborativeforecastingmodels |