A human-centric generative AI framework using fuzzy multi-criteria analysis and machine learning for sustainable agroecology supply chain under Industry 5.0
Navin K. Dev, Sunil Luthra, Rajiv RanjanPurpose
This study aims to develop a human-centric Generative AI (GenAI)-enabled decision-support framework for sustainable agroecology supply chains under the Industry 5.0 paradigm. The framework integrates fuzzy Analytic Hierarchy Process (FAHP) and fuzzy C-Means (FCM) clustering to bridge digital innovation with ecological and social sustainability, ensuring participatory and adaptive decision-making in organic and community-based farming systems.
Design/methodology/approach
The research employs a hybrid FAHP-FCM model supported by ChatGPT as an interpretive reasoning layer. ChatGPT translates qualitative expert judgments and field narratives into structured fuzzy inputs, enhancing contextual adaptability and interpretability. The model is validated through a case study of a long-established agroecological community in India, where ten organic farming alternatives are evaluated across Functional-, Biological-, and Practice-Based Knowledge domains.
Findings
The integrated framework identified a set of bridging practices that effectively connect scientific innovation with farmers' experiential ecological wisdom. Through interpretive reasoning, ChatGPT uncovered overlaps among diverse knowledge domains, transforming complex numerical outputs into transparent, context-sensitive insights accessible to both farmers and decision-makers. These outcomes highlight how human-AI collaboration can foster adaptive, transparent, and socially inclusive agroecological transformation.
Practical implications
The framework enables decision-makers to prioritize sustainable agroecological practices by integrating digital, biological, and experiential knowledge. It enhances transparency, adaptability, and participatory governance within sustainable supply chains.
Social implications
By combining human reasoning with AI interpretability, the framework promotes inclusivity, ecological resilience, and community empowerment. It supports farmers in making informed, context-aware decisions aligned with Industry 5.0 values.
Originality/value
This research establishes a conceptualization of a GenAI-integrated fuzzy decision-support system that unites scientific, digital, and indigenous knowledge bases. It advances the Industry 5.0 vision of human-centric, participatory, and knowledge-driven management for sustainable agroecology supply chains.