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2015 | 24 | 1 |
Tytuł artykułu

Comprehensive assessment of marine ecological environment based on entropy weight model

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In order to overcome the defects of stronger subjectivity of common assessment methods of marine ecological environmental assessment, the entropy weight model was introduced. In the comprehensive assessment, because of different influence degrees of each index to the comprehensive assessment results, different improved measures can be adopted to increase policy ability. As Shannon information entropy has the advantages of objectivity and adaptability in determining weight value, it was applied to determine the weight value of each index in the comprehensive assessment model. Then the optimal and worst indexes were selected based on a double base point model. Through comparing the distance between the scheme point and double base points, the result of comprehensive assessment can be obtained. Then the model was employed to assess the ecological environment of a bay of China. Application results show the efficiency of this method.
Słowa kluczowe
Wydawca
-
Rocznik
Tom
24
Numer
1
Opis fizyczny
p.151-155,ref.
Twórcy
autor
  • Hebei University of Engineering, Handan 056038, China
autor
  • Hebei University of Engineering, Handan 056038, China
autor
  • Hebei University of Engineering, Handan 056038, China
Bibliografia
  • 1. DOUVERE F., EHLER C. N. New perspectives on sea use management: Initial finding from European experience with marine spatial planning. Journal of Environment Management 90, (1), 77, 2009.
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  • 11. BORJA A., ELLIOTT M., CARSTENSEN J., HEISKANEN A.-S., VANDE BUND W. Marine management-towards an integrated implementation of the European marine strategy framework and the water framework directives. Marine Pollution Bulletin 60, (12), 2175, 2010.
  • 12. SCHULZ MACEDO H., VIVACQUA M., LIMA RODRIGUES H. C., CAVALERII GERHARDINGER L. Governing wide coastal-marine protected territories: A governance analysis of the baleia franca environmental protection area in South Brazil. Marine Policy 41, 118, 2013.
  • 13. MA C., ZHANG X., CHEN W., ZHANG G., DUAN H., JU M., LI H., YANG Z. Ocean & Coastal Management 76, 1, 2013.
  • 14. WANG T., LEE H. Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert Systems with Application 36, (5), 8980, 2009.
  • 15. WU J., SUN J., LIANG L., ZHA Y. Determination of weights for ultimate cross efficiency using Shannon entropy. Expert Systems with Application 38, (5), 5162, 2011.
  • 16. CHEN T., LI C. Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis. Information Sciences 180, (21), 4207, 2010.
  • 17. LIU P., HAN Z. A fuzzy multi-attribute decision-making method under risk with unknown attribute weights. Technological and Economic Development of Economy 2, 146, 2011.
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  • 19. HU J. Research on ecological environment comprehensive assessment methods for coast marine area. Dalian University of Technology, China, 2007.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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