# INFUS — International Conference on Intelligent and Fuzzy Systems

- **Submission deadline**: 2027-02-15
- **Notification date**: 2027-03-15
- **Conference date**: 2027-07-27
- **Location**: Cappadocia, Turkey
- **Conference Partner Index**: 40.5/100 (ranked #4918, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/3039

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2019 | 2018-12-15 | 2019-07-23 | Istanbul, Turkey |

## Call for papers

INFUS 2027 Conference Theme “Trustworthy and explainable Intelligence for Sustainable and Resilient Systems” The rapid development of artificial intelligence is transforming the way complex systems are designed, operated, and managed. However, intelligent systems must not only be powerful and accurate, but also trustworthy, transparent, and understandable. The theme “Trustworthy and Explainable Intelligence for Sustainable and Resilient Systems” emphasizes the development of intelligent technologies that can support reliable decision-making in uncertain and dynamic environments. Explainable artificial intelligence can help users understand why a system produces a particular prediction, recommendation, or decision. Trustworthiness further requires intelligent systems to be robust, secure, fair, ethical, and accountable. These characteristics are particularly important in critical applications such as healthcare, energy, transportation, manufacturing, finance, and environmental management. Sustainability calls for intelligent solutions that use resources efficiently while contributing to long-term economic, environmental, and social well-being. Resilience, meanwhile, requires systems to anticipate disruptions, adapt to changing conditions, and recover effectively from unexpected events. Fuzzy systems, machine learning, evolutionary computation, and other computational intelligence approaches offer valuable tools for addressing these challenges. Combining these approaches can enable intelligent systems to reason under uncertainty while remaining interpretable and adaptable. The integration of human knowledge with data-driven intelligence can also improve both the reliability and practical acceptance of intelligent solutions. Such systems should place humans at the center of decision-making rather than treating intelligence as a replacement for human judgment. Researchers are therefore encouraged to explore new methodologies that balance performance, explainability, sustainability, and resilience. Attention should also be given to responsible data usage, privacy, fairness, and the societal consequences of intelligent technologies. Ultimately, trustworthy and explainable intelligence can strengthen confidence in AI-enabled systems and facilitate their adoption in real-world applications. This conference theme aims to bring together researchers and practitioners to advance intelligent systems that are not only smarter, but also more sustainable, resilient, transparent, and beneficial to society.

## Related conferences

- Fuzzy — International Conference on Fuzzy Logic Systems — https://www.myhuiban.com/conference/3917
- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141
- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421

## Related journals

- Journal of Intelligent & Fuzzy Systems — https://www.myhuiban.com/journal/873
- Fuzzy Sets and Systems — https://www.myhuiban.com/journal/211
- International Journal of Fuzzy Logic and Intelligent Systems — https://www.myhuiban.com/journal/934
- Fuzzy Information and Engineering — https://www.myhuiban.com/journal/943
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152

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Source: Conference Partner — https://www.myhuiban.com/conference/3039 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)