Name
Abstract | ||
|---|---|---|
Based on the theory of fuzzy pattern recognition and fuzzy optimization, this paper presents a kind of multi-dimensional fuzzy decision support strategy for multi-objective and multi-layer fuzzy decision support systems. Compared with conventional strategies of fuzzy optimization that just considers the relative membership uj of decision j of down layer unit systems, this strategy also takes the relative bad membership ubj= 1 -- uj as the input of up layer unit systems. Besides, unlike conventional strategies of fuzzy optimization, this strategy can provide multi-dimensional information to the decision-maker. With these advantages, this strategy founds a new theoretical basis for the multi-dimensional decision making of large systems. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.dss.2003.08.003 | Decision Support Systems |
Keywords | Field | DocType |
multi-objective and multi-layer system,fuzzy decision support strategy,multi-dimensional information,multi-dimensional,conventional strategy,fuzzy pattern recognition,multi-layer fuzzy decision support,decision j,multi-dimensional fuzzy decision support,fuzzy optimization,multi-dimensional decision,relative bad membership ubj,layer unit system,decision support system,pattern recognition,decision maker,decision support | Neuro-fuzzy,Defuzzification,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy transportation,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy number,Membership function | Journal |
Volume | Issue | ISSN |
38 | 4 | Decision Support Systems |
Citations | PageRank | References |
3 | 0.42 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qimi Jiang | 1 | 16 | 1.50 |
| Chun-Hsien Chen | 2 | 472 | 64.61 |