Open Access
2013 The Sustainable Island Development Evaluation Model and Its Application Based on the Nonstructural Decision Fuzzy Set
Quanming Wang, Peiying Li, Qinbang Sun
Abstr. Appl. Anal. 2013(SI14): 1-10 (2013). DOI: 10.1155/2013/631717

Abstract

Due to the complexity and diversity of the issue of sustainable island development, no widely accepted and applicable evaluation system model regarding the issue currently exists. In this paper, we discuss and establish the sustainable development indicator system and the model approach from the perspective of resources, the island environment, the island development status, the island social development, and the island intelligence development. We reference the sustainable development theory and the sustainable development indicator system method concerning land region, combine the character of the sustainable island development, analyze and evaluate the extent of the sustainable island development, orient development, and identify the key and limited factors of sustainable island development capability. This research adopts the entropy method and the nonstructural decision fuzzy set theory model to determine the weight of the evaluating indicators. Changhai County was selected as the subject of the research, which consisted of a quantitative study of its sustainable development status from 2001 to 2008 to identify the key factors influencing its sustainability development, existing problems, and limited factors and to provide basic technical support for ocean development planning and economic development planning.

Citation

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Quanming Wang. Peiying Li. Qinbang Sun. "The Sustainable Island Development Evaluation Model and Its Application Based on the Nonstructural Decision Fuzzy Set." Abstr. Appl. Anal. 2013 (SI14) 1 - 10, 2013. https://doi.org/10.1155/2013/631717

Information

Published: 2013
First available in Project Euclid: 26 February 2014

MathSciNet: MR3055931
Digital Object Identifier: 10.1155/2013/631717

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI14 • 2013
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