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      Research on Storm-Tide Disaster Losses in China Using a New Grey Relational Analysis Model with the Dispersion of Panel Data

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          Abstract

          Owing to the difference of the sequences’ orders and the surface structure in the current panel grey relational models, research results will not be unique. In addition, individual measurement of indicators and objects and the subjectivity of combined weight would significantly weaken the effective information of panel data and reduce the reliability and accuracy of research results. Therefore, we propose the concept and calculation method of dispersion of panel data, establish the grey relational model based on dispersion of panel data (DPGRA), and prove that DPGRA exhibits the effective properties of uniqueness, symmetry, and normality. To demonstrate its applicability, the proposed DPGRA model is used to research on storm-tide disaster losses in China’s coastal areas. Comparing research results of three models, which are DPGRA, Euclidean distance grey relational model, and grey grid relational model, it was shown that DPGRA is more effective, feasible, and stable. It is indicated that DPGRA can entirely utilize the effective information of panel data; what’s more, it can not only handle the non-uniqueness of the grey relational model’s results but also improve the reliability and accuracy of research results. The research results are of great significance for coastal areas to focus on monitoring storm–tide disasters hazards, strengthen the protection measures of natural disasters, and improve the ability of disaster prevention and reduction.

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          Service supply chain environmental performance evaluation using grey based hybrid MCDM approach

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            A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number

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              Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                01 November 2017
                November 2017
                : 14
                : 11
                : 1330
                Affiliations
                [1 ]School of Economics, Ocean University of China, Qingdao 266100, China; yinkedong@ 123456ouc.edu.cn (K.Y.); zhangya1992@ 123456126.com (Y.Z.)
                [2 ]Ocean Development Research Institute, Major Research Base of Humanities and Social Sciences of Ministry of Education, Ocean University of China, Qingdao 266100, China
                Author notes
                [* ]Correspondence: lixuemei@ 123456ouc.edu.cn ; Tel.: +86-185-6135-4087
                Article
                ijerph-14-01330
                10.3390/ijerph14111330
                5707969
                29104262
                883fa818-0895-4595-952d-9f21f3bd3920
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 06 September 2017
                : 22 October 2017
                Categories
                Article

                Public health
                dispersion,grey relational analysis,sustainable development on marine economics,storm-tide disaster

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