Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEEM.2010.5674408
Title: Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking
Authors: Prabhu Gaonkar, R.S. 
Xie, M. 
Verma, A.K.
Peng, R.
Keywords: Analytic Hierarchy Process (AHP)
Condition monitoring techniques
Evidential Reasoning (ER)
Fuzzy Sets
Multi Criteria Decision Making (MCDM)
Issue Date: 2010
Citation: Prabhu Gaonkar, R.S.,Xie, M.,Verma, A.K.,Peng, R. (2010). Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking. IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management : 2398-2402. ScholarBank@NUS Repository. https://doi.org/10.1109/IEEM.2010.5674408
Abstract: Ranking and selection of optimal alternative among a range of alternatives have always been a multifaceted task in real-world complex decision analysis problems due to the qualitative nature of the decision criteria's and also information uncertainties like incomplete i.e. missing or imprecise data. This makes ranking process a difficult task in all multi criteria decision making (MCDM) problems. Evidential reasoning approach advocates a general multi level evaluation process for dealing with MCDM problems. This paper reports the application of evidential reasoning approach to ranking and optimal selection among three techniques utilized for monitoring the condition of a turbine on a transportation ship. The problem was attempted earlier in the literature by different fuzzy MCDM methods. However, the assessment of incomplete information was not at all accounted earlier, which is incorporated in this paper. This paper demonstrates how the evidential reasoning approach could be used as another additional tool to deal with problem of ranking of condition monitoring techniques. ©2010 IEEE.
Source Title: IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
URI: http://scholarbank.nus.edu.sg/handle/10635/87421
ISBN: 9781424485031
DOI: 10.1109/IEEM.2010.5674408
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