Measurement and Evaluation of Cooperative order degree degree of Regional Innovation system in China based on order Parameter Membership Cloud

Identifying and analyzing the cooperative effectiveness of regional innovation systems is an important prerequisite for reflecting the operational efficiency and effect of regional innovation systems. The regional innovation system is a complex system network composed of many subsystems. Therefore, it is crucial to propose an effective measurement and evaluation method to reflect the essential characteristics of collaboration. Based on the principle of order parameters in synergitics and the idea of cloud model, this paper proposes the mechanism of order parameters membership cloud in the operation of regional innovation system, then proposes the evaluation process of cooperative order degree of regional innovation system based on order parameters membership cloud, and gives the identification method of order parameters in the cooperative order degree process of regional innovation system, and then builds the order parameters member cloud model. According to the possible results, the evaluation criteria and management and control strategies of cooperative order degree are constructed. Finally, taking the innovation system of 30 administrative regions in China as an example, the measurement and evaluation method proposed in this paper is applied to verify the scientific rationality of the model and method proposed in this paper. The method and control strategy proposed in this paper can provide method support for decision-making of relevant departments and enterprises of regional innovation management.

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Publication Details

Journal
Journal of Industrial Integration and Management
Published
2026-02-13
DOI
https://doi.org/10.1142/s2424862226500041
Primary Topic
Scientific Innovation and Industrial Efficiency
Type
article
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article

Measurement and Evaluation of Cooperative order degree degree of Regional Innovation system in China based on order Parameter Membership Cloud

Hou Man, Ziwan Zhang, Yanna Yin, Xin Wen
Journal of Industrial Integration and Management
Scientific Innovation and Industrial Efficiency
article

Measurement and Evaluation of Cooperative order degree degree of Regional Innovation system in China based on order Parameter Membership Cloud

Hou Man, Ziwan Zhang, Yanna Yin, Xin Wen
article en

Abstract

Identifying and analyzing the cooperative effectiveness of regional innovation systems is an important prerequisite for reflecting the operational efficiency and effect of regional innovation systems. The regional innovation system is a complex system network composed of many subsystems. Therefore, it is crucial to propose an effective measurement and evaluation method to reflect the essential characteristics of collaboration. Based on the principle of order parameters in synergitics and the idea of cloud model, this paper proposes the mechanism of order parameters membership cloud in the operation of regional innovation system, then proposes the evaluation process of cooperative order degree of regional innovation system based on order parameters membership cloud, and gives the identification method of order parameters in the cooperative order degree process of regional innovation system, and then builds the order parameters member cloud model. According to the possible results, the evaluation criteria and management and control strategies of cooperative order degree are constructed. Finally, taking the innovation system of 30 administrative regions in China as an example, the measurement and evaluation method proposed in this paper is applied to verify the scientific rationality of the model and method proposed in this paper. The method and control strategy proposed in this paper can provide method support for decision-making of relevant departments and enterprises of regional innovation management.

Journal of Industrial Integration and Management
Twitter (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Scientific Innovation and Industrial Efficiency
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