Aggregating forecasts to obtain fuzzy demands

Özgür Kabak*, Füsun Ülengin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

There are several studies in the literature that assumes fuzzy demands in supply chain or production planning models but most of them do not mention about how to derive the fuzzy demands from statistical and judgmental forecasts. In this study we propose a methodology to aggregate the forecasts coming based on different sources; namely statistical methods as well as the experts judgments, and to obtain an aggregated demand forecast that is represented by a possibilistic distribution. Results of the statistical and judgmental forecasts are represented by triangular possibilistic distributions. Subsequently, those results are combined by using weights of each input forecast. An illustrative example is also provided.

Original languageEnglish
Title of host publicationWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages73-78
Number of pages6
ISBN (Print)981279946X, 9789812799463
DOIs
Publication statusPublished - 2008
EventComputational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain
Duration: 21 Sept 200824 Sept 2008

Publication series

NameWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

Conference

ConferenceComputational Intelligence in Decision and Control - 8th International FLINS Conference
Country/TerritorySpain
CityMadrid
Period21/09/0824/09/08

Fingerprint

Dive into the research topics of 'Aggregating forecasts to obtain fuzzy demands'. Together they form a unique fingerprint.

Cite this