Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chiou, HK | en_US |
dc.contributor.author | Tzeng, GH | en_US |
dc.date.accessioned | 2014-12-08T15:26:02Z | - |
dc.date.available | 2014-12-08T15:26:02Z | - |
dc.date.issued | 2003 | en_US |
dc.identifier.isbn | 3-540-00653-2 | en_US |
dc.identifier.issn | 1615-3871 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/18449 | - |
dc.description.abstract | In this paper we propose an extended method for multicriteria optimization and compromise solution to solve multiple objective decision making (MODM) problems. This method assumes that optimal compromise solution should have the shortest distance from the positive ideal solution (PIS) as well as the longest distance from the negative ideal solution (NIS). We use the membership function of fuzzy set theory to express the satisfaction level, and use max-min operation for this bi-objective programming problem To illustrate this procedure, prequalification for the project bidding process of an outsourcing partner for semiconductor enterprise in Taiwan is solved by use of our procedure. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | compromise solution | en_US |
dc.subject | fuzzy set theory | en_US |
dc.subject | max-min operation | en_US |
dc.subject | semiconductor | en_US |
dc.subject | prequalification | en_US |
dc.title | An extended approach of multicriteria optimization for MODM problems | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | MULTI-OBJECTIVE PROGRAMMING AND GOAL PROGRAMMING | en_US |
dc.citation.spage | 111 | en_US |
dc.citation.epage | 116 | en_US |
dc.contributor.department | 科技管理研究所 | zh_TW |
dc.contributor.department | Institute of Management of Technology | en_US |
dc.identifier.wosnumber | WOS:000185177200013 | - |
Appears in Collections: | Conferences Paper |