Systemic Validation of Fuzzy Rule Bases
Develop novel validation frameworks and graph-based metrics for symbolic artificial intelligence and fuzzy inference systems.
Best for:Best for candidates with a strong background in symbolic AI, fuzzy logic, and graph-based modeling seeking a structured doctoral research opportunity.
Overview
This PhD position at Université Paris-Saclay focuses on symbolic artificial intelligence, specifically addressing the systemic validation of fuzzy rule bases. Working within the Laboratory of Trustworthy Artificial Intelligence for Instrumentation, the candidate will design comprehensive methodologies and innovative metrics to assess rule interactions and reliability, with or without available data. The project involves formulating theoretical frameworks, implementing new validation measures, and conducting rigorous experimental evaluations. The expected outcome is the creation of advanced tools to detect problematic rules and enhance the performance of fuzzy inference systems.
What you'll do
- Design a comprehensive methodological framework for validating fuzzy rule bases under varying data availability conditions.
- Develop novel validation measures and metrics capable of capturing complex rule interactions.
- Draw inspiration from graph-based approaches such as FinGrams or reputation systems to model rule relationships.
- Implement the proposed methodological frameworks and validation algorithms.
- Conduct thorough experimental evaluations to assess the performance and reliability of the new metrics.
- Contribute to the detection of problematic rules and the overall improvement of fuzzy inference systems.
Requirements
Degree required: Master's degree or equivalent in Computer Science, Software Engineering, or a related field
Degree offered: PhD
Language: English or French; no specific strict language certificate mandated
Instruction: English / French
- Strong background in symbolic artificial intelligence or fuzzy logic
- Experience with algorithmic design and methodological framework development
- Familiarity with graph-based modeling or related structural analysis
- Proficiency in experimental evaluation and software implementation
- Meet standard doctoral school admission criteria for Université Paris-Saclay
Funding & terms
How to apply
Deadline: 2026-10-31
Interested applicants should review the specific requirements and submit their application through the official doctoral portal or contact the designated supervisor via email with the required documents.
- CV
- Cover letter
- Academic transcripts
Contact
Valentin Fouillard· Supervisor
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.