Article: An intelligent fuzzy evaluation model for digital heritage design: a cyber-physical systems perspective on closed-loop feedback mechanisms Journal: International Journal of Systems, Control and Communications (IJSCC) 2026 Vol.17 No.6 pp.1 - 16 Abstract: This paper proposes an intelligent fuzzy evaluation model that integrates grounded theory (GT), analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). This model is designed as an 'evaluation controller' in the AIGC generation network, specifically for quantifying the cultural heritage value of Yixing Zisha teapot designs and providing closed-loop feedback. This study extracted the hierarchical state feature space consisting of four dimensions: instinctive layer, behavioural layer, reflective layer, and evolutionary layer through semi-structured interviews and three-level coding. Simulation experiments and multi-source data fusion analysis shows the model can objectively select the optimal design with strong anti-disturbance ability and in line with contemporary aesthetic standards and output precise quantitative error signals to guide the state correction and parameter iteration of the generation system. This research provides a scientific and computable intelligent decision-making and control paradigm for the digital protection and sustainable innovation of intangible cultural heritage under multi-agent systems. Inderscience Publishers - linking academia, business and industry through research

Title: An intelligent fuzzy evaluation model for digital heritage design: a cyber-physical systems perspective on closed-loop feedback mechanisms

Authors: Yinuo He

Addresses: School of Ceramics, Wuxi Vocational Institute of Arts and Technology, Yixing, Jiangsu, 214206, China

Abstract: This paper proposes an intelligent fuzzy evaluation model that integrates grounded theory (GT), analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). This model is designed as an 'evaluation controller' in the AIGC generation network, specifically for quantifying the cultural heritage value of Yixing Zisha teapot designs and providing closed-loop feedback. This study extracted the hierarchical state feature space consisting of four dimensions: instinctive layer, behavioural layer, reflective layer, and evolutionary layer through semi-structured interviews and three-level coding. Simulation experiments and multi-source data fusion analysis shows the model can objectively select the optimal design with strong anti-disturbance ability and in line with contemporary aesthetic standards and output precise quantitative error signals to guide the state correction and parameter iteration of the generation system. This research provides a scientific and computable intelligent decision-making and control paradigm for the digital protection and sustainable innovation of intangible cultural heritage under multi-agent systems.

Keywords: cyber-physical systems; CPS; fuzzy comprehensive evaluation; FCE; networked control; artificial intelligence generated content; AIGC; Yixing Zisha pottery; intangible cultural heritage; ICH; multi-criteria decision making.

DOI: 10.1504/IJSCC.2026.155269

International Journal of Systems, Control and Communications, 2026 Vol.17 No.6, pp.1 - 16

Received: 06 May 2026
Accepted: 09 Jun 2026
Published online: 29 Jul 2026 *

Title: An intelligent fuzzy evaluation model for digital heritage design: a cyber-physical systems perspective on closed-loop feedback mechanisms

Keep up-to-date