Abstract | ||
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In multiple criteria decision making (MCDA) problems, a decision maker often needs to select or rank alternatives that are associated with non-commensurate and conflicting criteria. This paper formulates a multiple criteria decision making problem as a fuzzy multiple objective data envelopment analysis model where inputs correspond to cost criteria and outputs correspond to benefit criteria. The fuzzy multiple objective data envelopment analysis model is different from the traditional DEA model in that a common set of weights is determined so that the efficiencies of all the DMUs are maximized simultaneously by maximizing the fuzzy degree of all efficiencies. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1007/11893004_117 | KES (2) |
Keywords | Field | DocType |
common set,rank alternative,fuzzy degree,conflicting criterion,multiple criteria decision,traditional dea model,decision maker,envelopment analysis model,fuzzy multiple objective data,data envelope analysis | Decision-making models,Weighted product model,Multiple-criteria decision analysis,Multiple criteria,Computer science,Fuzzy logic,Operations research,Weighted sum model,Data envelopment analysis,Knowledge engineering | Conference |
Volume | ISSN | ISBN |
4252 | 0302-9743 | 3-540-46537-5 |
Citations | PageRank | References |
2 | 0.38 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsuan-shih Lee | 1 | 535 | 36.35 |
Chen-Huei Yeh | 2 | 13 | 2.00 |