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- W3031036763 abstract "Many industries these days hire maintenance firms for carrying out major maintenance activity on their systems. This arrangement is economical since the industries can maintain a skeletal team who cater to minor front line maintenance tasks whereas, the major ones can be offloaded to external firms. However, rating the performance of the major maintenance activity carried out by the external firms remains a problem. The problem has fuzzy inputs with non-linear and correlated set of parameters. This paper uses expert opinions and demonstrates with an example of FMADM (fuzzy multiple attribute decision-making) processes the aggregation of the expert opinions. Once such aggregated opinions are created it can help to train a neuro-fuzzy inference system which can then replicate an expert decision-making process and give comparative results." @default.
- W3031036763 created "2020-06-05" @default.
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- W3031036763 date "2020-01-01" @default.
- W3031036763 modified "2023-09-26" @default.
- W3031036763 title "Quality of Maintenance Activity" @default.
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- W3031036763 doi "https://doi.org/10.1007/978-981-15-3643-4_40" @default.
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