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INFUS 2027: International Conference on Intelligent and Fuzzy Systems

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투고 마감일:
2027-02-15 118일 남음
통보일:
2027-03-15
개최일:
2027-07-27
개최지:
Cappadocia, Turkey
개최 횟수:
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INFUS
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회반 지수 (CP-I)

40.7 / 100
전체 5,738개 중 4,994위 · 상위 88%

인공지능·기계학습 분야 748개 중 637위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
19
커뮤니티 관심도 (10%)
12
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 1 · 지난 24개월 동안 이 페이지를 연 연구자: 4명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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논문 모집

INFUS 2027 (International Conference on Intelligent and Fuzzy Systems) is an academic conference held in Cappadocia, Turkey on 2027-07-27. The paper submission deadline is 2027-02-15. Acceptance notifications are sent on 2027-03-15.

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.
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AA*92.9STOCACM Symposium on Theory of Computing2026-11-022027-06-06
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CB62.9IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Intelligent & Fuzzy Systems1.0IOS Press1064-1246
CFuzzy Sets and Systems2.7Elsevier0165-0114
International Journal of Fuzzy Logic and Intelligent SystemsKorean Institute of Intelligent Systems1598-2645
Fuzzy Information and EngineeringTaylor & Francis1616-8658
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312

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