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基于双向正规化投影和改进TOPSIS技术的船舶设备可靠性评估模型     被引量:1

Evaluation model of ship equipment reliability based on bidirectional normalized projection and improved TOPSIS technique

文献类型:期刊文献

中文题名:基于双向正规化投影和改进TOPSIS技术的船舶设备可靠性评估模型

英文题名:Evaluation model of ship equipment reliability based on bidirectional normalized projection and improved TOPSIS technique

作者:贾小平[1,2,3];贾宝柱[1,2,3]

机构:[1]广东海洋大学船舶与海运学院,广东湛江524088;[2]广东海洋大学广东省船舶智能与安全工程技术研究中心,广东湛江524088;[3]广东海洋大学南海海洋牧场智能装备广东省重点实验室,广东湛江524088

年份:2024

卷号:47

期号:3

起止页码:46

中文期刊名:中国航海

外文期刊名:Navigation of China

收录:北大核心2023、CSTPCD、、CSCD_E2023_2024、北大核心、CSCD

基金:国家自然科学基金(52071090);广东省普通高校重点领域(新一代信息技术)专项(2020ZDZX3063)。

语种:中文

中文关键词:船舶设备;可靠性评估;双向正规化投影;TOPSIS

外文关键词:marine equipment;reliability evaluation;bidirectional normalized projection;TOPSIS

中文摘要:为更科学地评估船舶设备及系统可靠性,构建以实数、区间数和直觉模糊数为混合信息载体,以双向正规化投影和改进TOPSIS技术为框架的多属性群决策评估模型。通过调查问卷生成各套船舶设备的决策信息评价矩阵,结合属性权重向量生成加权评价矩阵,通过双向正规化投影测度评估各设备可靠性到理想解的贴近程度并计算优先系数,将优先系数从大到小进行排序作为可靠性由优到劣的评价依据,并通过静态、动态试验与现有方法进行对比分析。结果表明:该模型具有可行性和优越性,克服了欧氏、汉明等距离测度和传统投影测度的不足与缺陷;解决了近期文献中提出的其他正规化投影方法的隐含缺陷问题并具有更好的动态单调性;具有更大的优先系数取值范围,从而有利于不同设备间可靠性的比较和区分。

外文摘要:To evaluate the reliability of ship equipment and system more scientifically,a multi-attribute group decision evaluation model with real,interval,and intuitionistic fuzzy numbers as the mixed information carriers,and bidirectional normalized projection and improved TOPSIS technique as the framework is constructed.Firstly,hybrid decision information matrix and weighted evaluation matrix are generated based on the questionnaire and attribute weight vector.Then the closeness of each alternative to the positive and negative ideal solution is evaluated by a bidirectional normalized projection measure,and the priority coefficients are calculated.Finally,the larger the priority coefficient value,the higher the ship equipment reliability.Static and dynamic comparative experimental analysis shows that the proposed method is feasible and superior:it overcomes the deficiencies and shortcomings of distance measures such as Euclidean and Hamming and traditional projection measures;it overcomes the implicit shortcomings of other regularized projection methods proposed in the recent literature and has better dynamic monotonicity;and it has a larger range of values for the preference coefficients,which is conducive to comparing and distinguishing between the reliability of different devices.

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