{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:12:31Z","timestamp":1781107951881,"version":"3.54.1"},"reference-count":17,"publisher":"IGI Global Scientific Publishing","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,1,1]]},"abstract":"<p>Forecasting the unit cost of every product type in a factory is an important task to the factory. However, it is not easy to deal with the uncertainty in the unit cost. Fuzzy collaborative forecasting is very effective in handling the uncertainty in the distributed environment. This paper presents some fuzzy collaborative forecasting models to predict the unit cost of a semiconductor product. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through the objects\u2019 collaboration.<\/p>","DOI":"10.4018\/ijfsa.2013010102","type":"journal-article","created":{"date-parts":[[2013,4,9]],"date-time":"2013-04-09T13:44:28Z","timestamp":1365515068000},"page":"25-39","source":"Crossref","is-referenced-by-count":1,"title":["Some Linear Fuzzy Collaborative Forecasting Models for Semiconductor Unit Cost Forecasting"],"prefix":"10.4018","volume":"3","author":[{"given":"Toly","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Systems Management, Feng Chia University, Seatwen, Taichung City, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijfsa.2013010102-0","doi-asserted-by":"publisher","DOI":"10.1080\/00207720902974553"},{"key":"ijfsa.2013010102-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.07.058"},{"key":"ijfsa.2013010102-2","doi-asserted-by":"publisher","DOI":"10.1504\/IJTIP.2011.044610"},{"key":"ijfsa.2013010102-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2011.05.007"},{"key":"ijfsa.2013010102-4","article-title":"A fuzzy collaborative forecasting approach for WIP level estimation in a wafer fabrication factory.","author":"T.Chen","journal-title":"Applied Mathematics & Information Sciences"},{"key":"ijfsa.2013010102-5","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488508005030"},{"issue":"5","key":"ijfsa.2013010102-6","doi-asserted-by":"crossref","first-page":"763","DOI":"10.3233\/IDA-2011-0494","article-title":"A fuzzy-neural approach for global CO2 concentration forecasting.","volume":"15","author":"T.Chen","year":"2011","journal-title":"Intelligent Data Analysis"},{"key":"ijfsa.2013010102-7","doi-asserted-by":"crossref","unstructured":"Eraslan, E. (2009). The estimation of product standard time by artificial neural networks in the molding industry. Mathematic Problems in Engineering, 2009, ID 527452. Retrieved from http:\/\/www.hindawi.com\/journals\/mpe\/2009\/527452\/","DOI":"10.1155\/2009\/527452"},{"key":"ijfsa.2013010102-8","author":"H.Gruber","year":"1994","journal-title":"Learning and strategic product innovation: Theory and evidence for the semiconductor industry"},{"key":"ijfsa.2013010102-9","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcm.2006.04.014"},{"key":"ijfsa.2013010102-10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2003.07.004"},{"key":"ijfsa.2013010102-11","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(02)00130-7"},{"key":"ijfsa.2013010102-12","doi-asserted-by":"crossref","unstructured":"Pedrycz, W. (2008, June 1-6). Collaborative architectures of fuzzy modeling. In Proceedings of the World Congress on Computational Intelligence (WCCI 2008), Hong Kong, China (LNCS 5050, pp. 117\u2013139).","DOI":"10.1007\/978-3-540-68860-0_6"},{"key":"ijfsa.2013010102-13","doi-asserted-by":"publisher","DOI":"10.1016\/0165-0114(94)90144-9"},{"key":"ijfsa.2013010102-14","doi-asserted-by":"publisher","DOI":"10.1016\/0165-0114(88)90054-1"},{"key":"ijfsa.2013010102-15","doi-asserted-by":"crossref","unstructured":"Wu, J., & Li, T. (2008). A modified fuzzy c-means algorithm for collaborative filtering. In Proceedings of 2nd Netflix-KDD Workshop.","DOI":"10.1145\/1722149.1722151"},{"issue":"4","key":"ijfsa.2013010102-16","first-page":"198","article-title":"Partially horizontal collaborative fuzzy c-means.","volume":"9","author":"F.Yu","year":"2007","journal-title":"International Journal of Fuzzy Systems"}],"container-title":["International Journal of Fuzzy System Applications"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=76297","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T15:00:08Z","timestamp":1654095608000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijfsa.2013010102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2013,1,1]]},"references-count":17,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijfsa.2013010102","relation":{},"ISSN":["2156-177X","2156-1761"],"issn-type":[{"value":"2156-177X","type":"print"},{"value":"2156-1761","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1,1]]}}}