舰船远海维修保障的适应性及平台选型
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摘要
舰船远海维修保障平台选型实质是属性包括操作性、稳定性、及时性、安全性和经济性的模糊关联多属性群决策问题。为了更客观地反映平台选型过程中决策者的决策意图,更准确地融合决策信息,构建了三角模糊数犹豫直觉模糊关联有序加权几何平均(Related Triangular Hesitate Intuitionistic Ordered Weighted Geometric Average, R-THIOWGA)算子,给出了三角模糊数犹豫直觉模糊数的比较规则,并基于R-THIOWGA提出了远海维修保障平台选型的群决策方法。将提出的群决策方法应用于我国海军舰船远海维修保障平台选型的实例分析。分析结果表明:用R-THIOWGA算子解决模糊关联多属性决策问题是可行的、有效的,自航式半潜维修船是远海维修保障最佳作业平台。
The essence of the type selection of the platform for ship repairing and maintenance at far sea is a decision-making with multiple fuzzy related attributies, including of operability, stability, timeliness, safety and economy. In order to reflect the decision-making intention of decision makers and integrate decision information more accurately in the platform selection process, a R-THIOWGA(related triangular hesitate intuitionistic ordered weighted geometric average) operator was built, and a new comparison rule of the triangular hesitate intuitionistic fuzzy number was also presented. A method of the group decision-making for type selection of ship repairing and maintenance at far sea was proposed, based on the R-THIOWGA operator. The application of the method was analyzed on Chinese Navy ship repairing and maintenance practically. The result shows that the R-THIOWGA operator is feasible for multiple fuzzy related attributes decision-making, and the self-propelled semi-submersible repair and maintenance ship is confirmed as the best platform type for China navy.
The essence of the type selection of the platform for ship repairing and maintenance at far sea is a decision-making with multiple fuzzy related attributies, including of operability, stability, timeliness, safety and economy. In order to reflect the decision-making intention of decision makers and integrate decision information more accurately in the platform selection process, a R-THIOWGA(related triangular hesitate intuitionistic ordered weighted geometric average) operator was built, and a new comparison rule of the triangular hesitate intuitionistic fuzzy number was also presented. A method of the group decision-making for type selection of ship repairing and maintenance at far sea was proposed, based on the R-THIOWGA operator. The application of the method was analyzed on Chinese Navy ship repairing and maintenance practically. The result shows that the R-THIOWGA operator is feasible for multiple fuzzy related attributes decision-making, and the self-propelled semi-submersible repair and maintenance ship is confirmed as the best platform type for China navy.
引文
[1] 谢新连, 桑惠云, 张扬. 一种舰船远海维修保障新方案[J]. 舰船科学技术, 2013, 35(12): 50-54. XIE Xinlian, SANG Huiyun, ZHANG Yang. A novel scheme for ship repair support at sea [J]. Ship Science and Technology, 2013, 35(12): 50-54. (in Chinese)
[2] 任洪莹, 孙培廷, 杨昺崧, 等. 风帆助航典型船舶选型及其应用对策研究[J]. 船舶工程, 2013, 35(5): 116-119.REN Hongying, SUN Peiting, YANG Bingsong, et al. Selection of sail-assisted typical ships and research of its countermeasures of applications [J]. Ship Engineering, 2013, 35(5): 116-119. (in Chinese)
[3] 杨守威, 李昕, 张博文. 长江南京以下深水航道维护疏浚船舶选型及设计分析[J]. 水运工程, 2014(12): 196-200.YANG Shouwei, LI Xin, ZHANG Bowen. Selection and design of maintenance dredge vessels used in deepwater channel of Yangtze River below nanjing[J]. Port and Waterway Engineering, 2014(12): 196-200. (in Chinese)
[4] 徐舸, 祝前旺. 关于提高远洋护航综合保障能力的思考[J]. 海军工程大学学报, 2011, 8(4): 51-56.XU Ge, ZHU Qianwang. Reflections on enhancing comprehensive support capabilities of oceangoing escort operation[J]. Journal of Naval University of Engineering, 2011, 8(4): 51-56. (in Chinese)
[5] 郭付友, 佟连军, 魏强, 等. 吉林省松花江流域产业系统环境适应性时空分异与影响因素[J]. 地理学报, 2016, 71(3): 459-470.GUO Fuyou, TONG Lianjun, WEI Qiang, et al. Spatio-temporal difference and influencing factors of environmental adaptability assessment of industrial system in the Songhua River basin of Jilin province [J]. ACTA Geographica Sinica, 2016, 71(3): 459-470. (in Chinese)
[6] Zadeh L A. Fuzzy sets [J]. Information & Control, 1965, 8(3): 338-353.
[7] Yoon K. The propagation of errors in multiple attribute decision analysis: a practical approach [J]. Journal of the Operational Research Society, 1989, 40(7): 681-686.
[8] Gong D W, Qin N N, Sun X Y. Evolutionary algorithms for multi-objective optimization problems with interval parameters[C]//Proceedings of IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010: 411-420.
[9] Wang J, Wang J Q, Zhang H Y, et al. Multi-criteria group decision-making approach based on 2-tuple linguistic aggregation operators with multi-hesitant fuzzy linguistic information [J]. International Journal of Fuzzy Systems, 2016, 18(1): 81-97.
[10] 许永平, 王维平, 杨峰. 基于多粒度多语义语言判断矩阵的群决策方法[J]. 国防科技大学学报, 2010, 32(5): 173-178.XU Yongping, WANG Weiping, YANG Feng. Approach to group decision making with multi-granularity and multi-semantic linguistic comparison matrices [J]. Journal of National University of Defense Technology, 2010, 32(5): 173-178. (in Chinese)
[11] Yager R R. OWA aggregation over a continuous interval argument with applications to decision making [J]. IEEE Transactions on Systems Man & Cybernetics Part B Cybernetics a Publication of the IEEE Systems Man & Cybernetics Society, 2004, 34(5): 1952-1963.
[12] Xu Z S. Intuitionistic fuzzy aggregation operators[J]. IEEE Transactions on Fuzzy Systems, 2007, 15(6): 1179-1187.
[13] Xu Z S, Chen J. An overview of distance and similarity measurement of intuitionistic fuzzy sets [J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008, 16(4): 529-555.
[14] Orlovsky S A. Decision-making with a fuzzy preference relation [J]. Fuzzy Sets & Systems, 1978, 1(3): 155-167.
[15] Saaty L. The analytic hierarchy process: planning, priority setting, resource allocation [M].USA: McGraw-Hill, 1980.
[16] 谭睿璞, 张文德. 基于广义直觉语言算子的多属性群决策方法[J]. 控制与决策, 2016, 31(11): 2005-2012.TAN Ruipu, ZHANG Wende. Multi-criteria group decision making method based on generalized intuitionistic linguistic operators [J]. Control and Decision, 2016, 31(11): 2005-2012. (in Chinese)
[17] 刘力强, 冯俊文. 诱导广义区间值直觉不确定语言混合Shapley算子及在群决策中的应用[J]. 系统工程理论与实践, 2016, 36(10): 2661-2672.LIU Liqiang, FENG Junwen. Induced generalized interval-valued intuitionistic uncertain linguistic hybrid Shapley operators and their application in decision making [J]. Systems Engineering—Theory & Practice, 2016, 36(10): 2661-2672. (in Chinese)
[18] Atanassov K T. Intuitionistic fuzzy sets [J]. Fuzzy Sets & Systems, 1986, 20(1): 87-96.
[19] Torra V. Hesitant fuzzy sets [J]. International Journal of Intelligent Systems, 2010, 25(6): 529-539.
[20] Rodriguez R M, Martinez L, Herrera F. Hesitant fuzzy linguistic term sets for decision making [J]. IEEE Transactions on Fuzzy Systems, 2012, 20(1): 109-119.
[21] 徐泽水, 潘玲, 廖虎昌. 基于MACBETH方法的犹豫模糊语言多准则决策方法[J]. 控制与决策, 2017, 32(7): 1266-1272. XU Zeshui, PAN Ling, LIAO Huchang. Multi-criteria decision making method of hesitant fuzzy linguistic term set based on improved MACBETH method [J]. Control and Decision, 2017, 32(7): 1266-1272. (in Chinese)
[22] 高岩, 周德群, 刘晨琛, 等. 基于关联的三角模糊数直觉模糊集成算子及其应用[J]. 系统工程理论与实践, 2012, 32(9): 1964-1972.GAO Yan, ZHOU Dequn, LIU Chenchen, et al. Triangular fuzzy number intuitionistic fuzzy aggregation operators and their application base on interaction [J]. Systems Engineering—Theory & Practice, 2012, 32(9): 1964-1972. (in Chinese)
[23] 谭旭, 吴俊江, 毛太田, 等. 基于三角模糊数犹豫直觉模糊集的多属性智能决策[J]. 系统工程与电子技术, 2017, 39(4): 829-836. TAN Xu, WU Junjiang, MAO Taitian, et al. Multi-attribute intelligent decision-making method based on triangular fuzzy number hesitant intuitionistic fuzzy sets [J]. Systems Engineering and Electronics, 2017, 39(4): 829-836. (in Chinese)
[24] Sugeno M. Theory of fuzzy integral and its application [D]. Japan: Tokyo Institute of Technology, 1974.
[25] Xu Z S. Choquet integrals of weighted intuitionistic fuzzy information [J]. Information Sciences, 2010, 180(5): 726-736.
[26] Liao H C, Xu Z S, Xia M M. Multiplicative consistency of hesitant fuzzy preference relation and ITS application in group decision making [J]. International Journal of Information Technology & Decision Making, 2014, 13(1): 47-76.
[27] Murofushi T, Sugeno M. An interpretation of fuzzy measures and the Choquet integral as an integral with respect to a fuzzy measure [J]. Fuzzy Sets & Systems, 1989, 29(2): 201-227.
[2] 任洪莹, 孙培廷, 杨昺崧, 等. 风帆助航典型船舶选型及其应用对策研究[J]. 船舶工程, 2013, 35(5): 116-119.REN Hongying, SUN Peiting, YANG Bingsong, et al. Selection of sail-assisted typical ships and research of its countermeasures of applications [J]. Ship Engineering, 2013, 35(5): 116-119. (in Chinese)
[3] 杨守威, 李昕, 张博文. 长江南京以下深水航道维护疏浚船舶选型及设计分析[J]. 水运工程, 2014(12): 196-200.YANG Shouwei, LI Xin, ZHANG Bowen. Selection and design of maintenance dredge vessels used in deepwater channel of Yangtze River below nanjing[J]. Port and Waterway Engineering, 2014(12): 196-200. (in Chinese)
[4] 徐舸, 祝前旺. 关于提高远洋护航综合保障能力的思考[J]. 海军工程大学学报, 2011, 8(4): 51-56.XU Ge, ZHU Qianwang. Reflections on enhancing comprehensive support capabilities of oceangoing escort operation[J]. Journal of Naval University of Engineering, 2011, 8(4): 51-56. (in Chinese)
[5] 郭付友, 佟连军, 魏强, 等. 吉林省松花江流域产业系统环境适应性时空分异与影响因素[J]. 地理学报, 2016, 71(3): 459-470.GUO Fuyou, TONG Lianjun, WEI Qiang, et al. Spatio-temporal difference and influencing factors of environmental adaptability assessment of industrial system in the Songhua River basin of Jilin province [J]. ACTA Geographica Sinica, 2016, 71(3): 459-470. (in Chinese)
[6] Zadeh L A. Fuzzy sets [J]. Information & Control, 1965, 8(3): 338-353.
[7] Yoon K. The propagation of errors in multiple attribute decision analysis: a practical approach [J]. Journal of the Operational Research Society, 1989, 40(7): 681-686.
[8] Gong D W, Qin N N, Sun X Y. Evolutionary algorithms for multi-objective optimization problems with interval parameters[C]//Proceedings of IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010: 411-420.
[9] Wang J, Wang J Q, Zhang H Y, et al. Multi-criteria group decision-making approach based on 2-tuple linguistic aggregation operators with multi-hesitant fuzzy linguistic information [J]. International Journal of Fuzzy Systems, 2016, 18(1): 81-97.
[10] 许永平, 王维平, 杨峰. 基于多粒度多语义语言判断矩阵的群决策方法[J]. 国防科技大学学报, 2010, 32(5): 173-178.XU Yongping, WANG Weiping, YANG Feng. Approach to group decision making with multi-granularity and multi-semantic linguistic comparison matrices [J]. Journal of National University of Defense Technology, 2010, 32(5): 173-178. (in Chinese)
[11] Yager R R. OWA aggregation over a continuous interval argument with applications to decision making [J]. IEEE Transactions on Systems Man & Cybernetics Part B Cybernetics a Publication of the IEEE Systems Man & Cybernetics Society, 2004, 34(5): 1952-1963.
[12] Xu Z S. Intuitionistic fuzzy aggregation operators[J]. IEEE Transactions on Fuzzy Systems, 2007, 15(6): 1179-1187.
[13] Xu Z S, Chen J. An overview of distance and similarity measurement of intuitionistic fuzzy sets [J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008, 16(4): 529-555.
[14] Orlovsky S A. Decision-making with a fuzzy preference relation [J]. Fuzzy Sets & Systems, 1978, 1(3): 155-167.
[15] Saaty L. The analytic hierarchy process: planning, priority setting, resource allocation [M].USA: McGraw-Hill, 1980.
[16] 谭睿璞, 张文德. 基于广义直觉语言算子的多属性群决策方法[J]. 控制与决策, 2016, 31(11): 2005-2012.TAN Ruipu, ZHANG Wende. Multi-criteria group decision making method based on generalized intuitionistic linguistic operators [J]. Control and Decision, 2016, 31(11): 2005-2012. (in Chinese)
[17] 刘力强, 冯俊文. 诱导广义区间值直觉不确定语言混合Shapley算子及在群决策中的应用[J]. 系统工程理论与实践, 2016, 36(10): 2661-2672.LIU Liqiang, FENG Junwen. Induced generalized interval-valued intuitionistic uncertain linguistic hybrid Shapley operators and their application in decision making [J]. Systems Engineering—Theory & Practice, 2016, 36(10): 2661-2672. (in Chinese)
[18] Atanassov K T. Intuitionistic fuzzy sets [J]. Fuzzy Sets & Systems, 1986, 20(1): 87-96.
[19] Torra V. Hesitant fuzzy sets [J]. International Journal of Intelligent Systems, 2010, 25(6): 529-539.
[20] Rodriguez R M, Martinez L, Herrera F. Hesitant fuzzy linguistic term sets for decision making [J]. IEEE Transactions on Fuzzy Systems, 2012, 20(1): 109-119.
[21] 徐泽水, 潘玲, 廖虎昌. 基于MACBETH方法的犹豫模糊语言多准则决策方法[J]. 控制与决策, 2017, 32(7): 1266-1272. XU Zeshui, PAN Ling, LIAO Huchang. Multi-criteria decision making method of hesitant fuzzy linguistic term set based on improved MACBETH method [J]. Control and Decision, 2017, 32(7): 1266-1272. (in Chinese)
[22] 高岩, 周德群, 刘晨琛, 等. 基于关联的三角模糊数直觉模糊集成算子及其应用[J]. 系统工程理论与实践, 2012, 32(9): 1964-1972.GAO Yan, ZHOU Dequn, LIU Chenchen, et al. Triangular fuzzy number intuitionistic fuzzy aggregation operators and their application base on interaction [J]. Systems Engineering—Theory & Practice, 2012, 32(9): 1964-1972. (in Chinese)
[23] 谭旭, 吴俊江, 毛太田, 等. 基于三角模糊数犹豫直觉模糊集的多属性智能决策[J]. 系统工程与电子技术, 2017, 39(4): 829-836. TAN Xu, WU Junjiang, MAO Taitian, et al. Multi-attribute intelligent decision-making method based on triangular fuzzy number hesitant intuitionistic fuzzy sets [J]. Systems Engineering and Electronics, 2017, 39(4): 829-836. (in Chinese)
[24] Sugeno M. Theory of fuzzy integral and its application [D]. Japan: Tokyo Institute of Technology, 1974.
[25] Xu Z S. Choquet integrals of weighted intuitionistic fuzzy information [J]. Information Sciences, 2010, 180(5): 726-736.
[26] Liao H C, Xu Z S, Xia M M. Multiplicative consistency of hesitant fuzzy preference relation and ITS application in group decision making [J]. International Journal of Information Technology & Decision Making, 2014, 13(1): 47-76.
[27] Murofushi T, Sugeno M. An interpretation of fuzzy measures and the Choquet integral as an integral with respect to a fuzzy measure [J]. Fuzzy Sets & Systems, 1989, 29(2): 201-227.
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