Title | ||
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Evidential reasoning approach for multiattribute decision analysis under both fuzzy and interval uncertainty |
Abstract | ||
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Many multiple attribute decision analysis (MADA) problems are characterized by both quantitative and qualitative attributes with various types of uncertainties. Incompleteness (or ignorance) and vagueness (or fuzziness) are among the most common uncertainties in decision analysis. The evidential reasoning (ER) and the interval grade ER (IER) approaches have been developed in recent years to support the solution of MADA problems with interval uncertainties and local ignorance in decision analysis. In this paper, the ER approach is enhanced to deal with both interval uncertainty and fuzzy beliefs in assessing alternatives on an attribute. In this newly developed fuzzy IER (FIER) approach, local ignorance and grade fuzziness are modeled under the integrated framework of a distributed fuzzy belief structure, leading to a fuzzy belief decision matrix. A numerical example is provided to illustrate the detailed implementation process of the FIER approach and its validity and applicability. |
Year | DOI | Venue |
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2009 | 10.1109/TFUZZ.2008.928599 | IEEE T. Fuzzy Systems |
Keywords | Field | DocType |
er approach,local ignorance,evidential reasoning approach,multiattribute decision analysis,fuzzy ier,interval uncertainty,decision analysis,fier approach,multiple attribute decision analysis,fuzzy belief structure,fuzzy belief decision matrix,fuzzy belief,erbium,fuzzy sets,decision theory,evidential reasoning,utility,indexing terms,fuzzy set,uncertainty,algorithm design and analysis,technology management,fuzzy set theory,image processing | Decision analysis,Vagueness,Decision matrix,Belief structure,Fuzzy logic,Fuzzy set,Decision theory,Artificial intelligence,Evidential reasoning approach,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
17 | 3 | 1063-6706 |
Citations | PageRank | References |
25 | 1.02 | 20 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Min Guo | 1 | 85 | 3.74 |
Jian-Bo Yang | 2 | 3832 | 203.05 |
Kwai-Sang Chin | 3 | 1033 | 54.69 |
Hongwei Wang | 4 | 528 | 30.86 |
Xin-Bao Liu | 5 | 254 | 26.14 |