7 research outputs found
Multi-Label Takagi-Sugeno-Kang Fuzzy System
Multi-label classification can effectively identify the relevant labels of an
instance from a given set of labels. However,the modeling of the relationship
between the features and the labels is critical to the classification
performance. To this end, we propose a new multi-label classification method,
called Multi-Label Takagi-Sugeno-Kang Fuzzy System (ML-TSK FS), to improve the
classification performance. The structure of ML-TSK FS is designed using fuzzy
rules to model the relationship between features and labels. The fuzzy system
is trained by integrating fuzzy inference based multi-label correlation
learning with multi-label regression loss. The proposed ML-TSK FS is evaluated
experimentally on 12 benchmark multi-label datasets. 1 The results show that
the performance of ML-TSK FS is competitive with existing methods in terms of
various evaluation metrics, indicating that it is able to model the
feature-label relationship effectively using fuzzy inference rules and enhances
the classification performance.Comment: This work has been accepted by IEEE Transactions on Fuzzy System
Implementasi Artificial Intelligence (AI) dalam Kehidupan
Bab 1 Pengenalan tentang AI
Bab 2 Teknologi Pembelajaran Mesin
Bab 3 Kecerdasan Buatan dalam Transportasi
Bab 4 Kecerdasan Buatan dalam Kesehatan
Bab 5 Kecerdasan Buatan dalam Pendidikan
Bab 6 Kecerdasan Buatan dalam Pelayanan Publik
Bab 7 Etika dalam Pengembangan Artificial Intelligence (AI) Bab 8 Kecerdasan Buatan dalam Pengolahan Data
Bab 9 Kecerdasan Buatan dalam Pemasaran
Bab 10 Kecerdasan Buatan dalam Manufaktur
Bab 11 Masa Depan Kecerdasan Buata
Women in Artificial intelligence (AI)
This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have applications to relevant fields, such as human health, finance, or education. It is worth noting that the Issue includes three papers that deal with different aspects of gender bias in Artificial Intelligence. All the papers have a woman as the first author. We can proudly say that these women are from countries worldwide, such as France, Czech Republic, United Kingdom, Australia, Bangladesh, Yemen, Romania, India, Cuba, Bangladesh and Spain. In conclusion, apart from its intrinsic scientific value as a Special Issue, combining interesting research works, this Special Issue intends to increase the invisibility of women in AI, showing where they are, what they do, and how they contribute to developments in Artificial Intelligence from their different places, positions, research branches and application fields. We planned to issue this book on the on Ada Lovelace Day (11/10/2022), a date internationally dedicated to the first computer programmer, a woman who had to fight the gender difficulties of her times, in the XIX century. We also thank the publisher for making this possible, thus allowing for this book to become a part of the international activities dedicated to celebrating the value of women in ICT all over the world. With this book, we want to pay homage to all the women that contributed over the years to the field of AI
Uncertain Multi-Criteria Optimization Problems
Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems
Safety and Reliability - Safe Societies in a Changing World
The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management
- mathematical methods in reliability and safety
- risk assessment
- risk management
- system reliability
- uncertainty analysis
- digitalization and big data
- prognostics and system health management
- occupational safety
- accident and incident modeling
- maintenance modeling and applications
- simulation for safety and reliability analysis
- dynamic risk and barrier management
- organizational factors and safety culture
- human factors and human reliability
- resilience engineering
- structural reliability
- natural hazards
- security
- economic analysis in risk managemen