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Normalized projection-based group decision making method and application to marine equipment reliability assessment  ( SCI-EXPANDED收录 EI收录)   被引量:7

文献类型:期刊文献

英文题名:Normalized projection-based group decision making method and application to marine equipment reliability assessment

作者:Jia, Xiaoping[1];Jia, Baozhu[1]

机构:[1]Guangdong Ocean Univ, Maritime Coll, Zhanjiang 524088, Peoples R China

年份:2022

卷号:251

外文期刊名:OCEAN ENGINEERING

收录:SCI-EXPANDED(收录号:WOS:000821353600002)、、EI(收录号:20221311852305)、Scopus(收录号:2-s2.0-85126995899)、WOS

基金:This work was supported by the National Natural Science Foundation of China under Grant 52071090; the Education and Teaching Reform Project from Department of Education of Guangdong Province under Grant 010202132102; the Scientific Research Start-up Foundation of Guangdong Ocean University under Grant R20024; and the Education and Teaching Reform Project from Guangdong Ocean University under Grant 580320099.

语种:英文

外文关键词:Normalized projection; Group decision-making; TOPSIS; Hybrid decision; Marine equipment reliability assessment

外文摘要:Scientific assessment of marine equipment reliability is not only crucial to operational safety and environmental safety on board, but also critical for selecting optimum maintenance intervals and making ship Planned Maintenance Schedule (PMS). However, the process of reliability assessment is challenging due to the complex criteria which often contain subjective and imprecise factors. To address this problem, this paper presents a novel normalized projection-based Group Decision-Making (GDM) methodology in which original decision information is collected directly from the experts and without transformations and aggregations to guarantee less information loss. Technique for Order Performance by Similarity to Ideal Situation (TOPSIS) is employed in the new GDM methodology to deal with hybrid decision information, including crisp number, interval number, and intuitionistic fuzzy number. Feasibility and effectiveness of the proposed scheme in this research are illustrated by an application case of marine equipment reliability assessment, and the future research direction is also suggested.

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