標題: A fuzzy analysis method for new-product development
作者: Lo, CC
Wang, P
Chao, KM
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: new product development;idea screening;vague sets;similarity;MPDM
公開日期: 2005
摘要: This paper reports a new idea-screening method for new product development (NPD) with a group of decision makers having imprecise, inconsistent and uncertain preferences. The traditional NPD analysis method determines the solution using the membership function of the fuzzy set which cannot treat the negative evidence. The advantage of vague sets with the capability of representing negative evidences supports the decision makers with ability of modeling uncertain objects. In this paper, we present a new method for new-product screening in the NPD process by relaxing a number of assumptions so that imprecise, inconsistent and uncertain ratings can be considered In addition, a new similarity measure of vague sets is introduced to proceed with the ratings aggregation for a group of decision makers. From numerical illustrations, the proposed model can outperform conventional fuzzy methods. It is able to provide decision makers (DMs) with consistent information and to model the situation where vague and ill-defined information exist in the decision process.
URI: http://hdl.handle.net/11536/17640
http://dx.doi.org/10.1109/CSCWD.2005.194172
ISBN: 1-84600-002-5
DOI: 10.1109/CSCWD.2005.194172
期刊: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS 1 AND 2
起始頁: 211
結束頁: 216
顯示於類別:會議論文


文件中的檔案:

  1. 000230443400039.pdf