The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties
By Jianbo Yang, Yingming Wang, Dongling Xu, Kwai-Sang Chin. European Journal of Operational Research, 2006
376 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/dad8bbd9d61912e90a229aa7f81c1962c6ba3dda
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In Artificial Intelligence
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Failure mode and effects analysis using a group-based evidential reasoning approach (2009, background): “The interested reader may refer to [32] for the fuzzy ER algorithm.”
- Modeling uncertainty in multi-criteria decision analysis (2012, background): “for beliefs to be expressed as intervals [146] or fuzzy linguistic terms [155] rather than crisp values.”
- Evidential reasoning rule for evidence combination (2013, methodology): “These attractive features have motivated the use of D–S theory in many areas like knowledge-based system [22,8], pattern recognition [6], information fusion [21,30,14], Multiple Criteria Decision Analysis (MCDA) and risk analysis [38,40,2,41, 37,33,42].”
- Belief rule-base inference methodology using the evidential reasoning Approach-RIMER (2006, methodology): “For instance, the benefit of combining fuzzy set theory with D–S theory of evidence may be substantial in situations where fuzziness and ignorance in data become prevalent [12], [14].”