Regional Leading Industry Selection Based on an Extended Fuzzy VIKOR Approach

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Decision Support System Technology Pub Date : 2022-01-01 DOI:10.4018/ijdsst.286687

F. Zhou, Guiyan Wang, Tianfu Chen, Panpan Ma, S. Pratap

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引用次数: 3

Abstract

To improve the deployment and optimization of the industrial structure, researchers and practitioners have performed a variety of researches in terms of regional leading industry selection based on AO Hirschman, Rostow and Miyohei’s principles. The criteria and methods employed in previous studies are mainly based on the mass industrial development data, leading to the limitation of study on the application in new high-tech district and underdeveloped regions. Due to lack of industrial data and detail industry information, it is difficult to employ the deterministic regional industry selection model. Therefore, an extended fuzzy-VIKOR approach that the expert-based and trapezoidal fuzzy number decision-making techniques, embedded into the VIKOR steps is proposed. It is developed to solve the regional leading industry selection problems concerning industrial, economic, social and environmental dimensions. Finally, a case study for the industrial planning of a high-tech zone is applied to verify the proposed decision-making approach.

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基于扩展模糊VIKOR方法的区域主导产业选择

为了促进产业结构的配置和优化，研究者和实践者基于AO Hirschman、Rostow和Miyohei的原则在区域主导产业选择方面进行了多种研究。以往研究采用的标准和方法主要是基于大量的产业发展数据，导致在高新区和欠发达地区的应用研究存在局限性。由于缺乏行业数据和详细的行业信息，确定性区域产业选择模型难以应用。因此，提出了一种扩展的模糊VIKOR方法，将基于专家的模糊数决策技术和梯形模糊数决策技术嵌入到VIKOR步骤中。它旨在解决区域主导产业选择问题，涉及产业、经济、社会和环境等方面。最后，以某高新区产业规划为例，对所提出的决策方法进行了验证。

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来源期刊

International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.20

自引率

18.20%

发文量