File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace HK -
dc.citation.conferencePlace Hong Kong -
dc.citation.endPage 1036 -
dc.citation.startPage 1029 -
dc.citation.title 43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 -
dc.citation.volume 2 -
dc.contributor.author Pyo, S. -
dc.contributor.author Park, J. -
dc.contributor.author Kim, Suntai -
dc.contributor.author Lee, Kiyoul -
dc.contributor.author Jung, Mooyoung -
dc.date.accessioned 2023-12-20T01:11:32Z -
dc.date.available 2023-12-20T01:11:32Z -
dc.date.created 2014-05-07 -
dc.date.issued 2013 -
dc.description.abstract Crude oil is known as one of the most important raw materials and energy sources for various industries. Due to this heightened value of crude oil, predicting oil price has been an important issue worldwide and it still is an on-going research issue. Oil price is influenced not only by market internal factors but also by external factors such as political conflicts and natural disasters. Since the external factors are qualitative that are difficult to quantify, most of current oil pricing models focus on the internal factors. This paper classifies the external factors into five different perspectives and divides these aspects into fourteen different factors. The rationale behind this approach is discussed. Then, quantification to grant certain weights on one of the external market factors is demonstrated by using the fuzzy concept and AHP (Analytic Hierarchy Process) method. -
dc.identifier.bibliographicCitation 43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013, v.2, pp.1029 - 1036 -
dc.identifier.isbn 978-162993437-2 -
dc.identifier.issn 2164-8689 -
dc.identifier.scopusid 2-s2.0-84898796138 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/51465 -
dc.language 영어 -
dc.publisher 43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 -
dc.title Quantification of market external factors for crude oil pricing -
dc.type Conference Paper -
dc.date.conferenceDate 2013-10-16 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.