Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking
10.1109/IEEM.2010.5674408
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sg-nus-scholar.10635-874212015-01-24T19:54:51Z Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking Prabhu Gaonkar, R.S. Xie, M. Verma, A.K. Peng, R. INDUSTRIAL & SYSTEMS ENGINEERING Analytic Hierarchy Process (AHP) Condition monitoring techniques Evidential Reasoning (ER) Fuzzy Sets Multi Criteria Decision Making (MCDM) 10.1109/IEEM.2010.5674408 IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management 2398-2402 2014-10-07T10:27:55Z 2014-10-07T10:27:55Z 2010 Conference Paper 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. <a href="https://doi.org/10.1109/IEEM.2010.5674408" target="_blank">https://doi.org/10.1109/IEEM.2010.5674408</a> 9781424485031 http://scholarbank.nus.edu.sg/handle/10635/87421 NOT_IN_WOS Scopus |
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Analytic Hierarchy Process (AHP) Condition monitoring techniques Evidential Reasoning (ER) Fuzzy Sets Multi Criteria Decision Making (MCDM) |
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Analytic Hierarchy Process (AHP) Condition monitoring techniques Evidential Reasoning (ER) Fuzzy Sets Multi Criteria Decision Making (MCDM) Prabhu Gaonkar, R.S. Xie, M. Verma, A.K. Peng, R. Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking |
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10.1109/IEEM.2010.5674408 |
author2 |
INDUSTRIAL & SYSTEMS ENGINEERING |
author_facet |
INDUSTRIAL & SYSTEMS ENGINEERING Prabhu Gaonkar, R.S. Xie, M. Verma, A.K. Peng, R. |
format |
Conference or Workshop Item |
author |
Prabhu Gaonkar, R.S. Xie, M. Verma, A.K. Peng, R. |
author_sort |
Prabhu Gaonkar, R.S. |
title |
Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking |
title_short |
Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking |
title_full |
Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking |
title_fullStr |
Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking |
title_full_unstemmed |
Using evidential reasoning approach for ship turbine's condition monitoring techniques ranking |
title_sort |
using evidential reasoning approach for ship turbine's condition monitoring techniques ranking |
publishDate |
2014 |
url |
http://scholarbank.nus.edu.sg/handle/10635/87421 |
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1681090159881224192 |