Abstract and Applied Analysis
Volume 2013 (2013), Article ID 631717, 10 pages
http://dx.doi.org/10.1155/2013/631717
Research Article

The Sustainable Island Development Evaluation Model and Its Application Based on the Nonstructural Decision Fuzzy Set

1College of Environmental Science and Engineering, Ocean University of China, Qingdo 266003, China
2National Marine Environment Monitoring Center, Dalian 116023, China
3The First Institute of Oceanography, SOA, Qingdao 266061, China

Received 27 February 2013; Accepted 7 April 2013

Academic Editor: Fuding Xie

Copyright © 2013 Quanming Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.