2012•World Automation CongressRequires access

An AHP-Fuzzy decision support model for regional sustainable development evaluation

Gaochang Liu, Shuitai Xu

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Abstract

With the population increasing and the social economy developing, environmental problems appear continuously, so it is an important theme how to evaluate the status quo of regional sustainable development. Firstly, this paper discusses the meaning of sustainable development, presents its three-dimension model and indexes evaluation system. Secondly, the AHP-Fuzzy is introduced step by step. Finally, an empirical study is given to illustrate the whole process of regional sustainable development evaluation. Result of research has shown that this model is very effective.

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What this paper is about

With the population increasing and the social economy developing, environmental problems appear continuously, so it is an important theme how to evaluate the status quo of regional sustainable development. Firstly, this paper discusses the meaning of sustainable development, presents its three-dimension model and indexes evaluation system. Secondly, the AHP-Fuzzy is introduced step by step. Finally, an empirical study is given to illustrate the whole process of regional sustainable development evaluation. Result of research has shown that this model is very effective.

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Available abstract

With the population increasing and the social economy developing, environmental problems appear continuously, so it is an important theme how to evaluate the status quo of regional sustainable development. Firstly, this paper discusses the meaning of sustainable development, presents its three-dimension model and indexes evaluation system. Secondly, the AHP-Fuzzy is introduced step by step. Finally, an empirical study is given to illustrate the whole process of regional sustainable development evaluation. Result of research has shown that this model is very effective.

Key concepts: Sustainable development, Analytic hierarchy process, Status quo, Computer science, Fuzzy logic, Dimension (graph theory), Population, Process (computing)

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