The 10th edition of FSDM, FSDM2024, attracted many professors and post-graduate students – particularly Ph.D. scholars from numerous universities worldwide – as well as technicians, policymakers and top managers of organizations and businesses from various industries. This year, as the conference celebrates its first decade, the theme is fuzzy systems and data mining. The book is divided into three parts: Part I, Fuzzy Set Theory, Algorithm and System; Part II, Data Mining; and Part III, Interdisciplinary Field of Fuzzy Logic and Data Mining. The most popular topics are feature selection, instance selection, outlier detection and missing values imputation; nonetheless in the last couple of years data normalisation has also become a trend. Fuzzy systems are present in almost every item of news containing any qualitative part, and numbers have been replaced by the word in most daily activities such as the weather forecast, the rhythm of development, or many topics such as the economy, industry and so on.

All the submitted papers were thoroughly reviewed by dedicated international Technical Programme Committee (TPC) members and anonymous reviewers and, who took into account the breadth and depth of the research topics falling within the scope of FSDM. The 71 most promising and FAIA mainstream-relevant contributions from about 237 submissions have been included in this book, resulting in an acceptance rate of 30%.

I would like to take this opportunity to thank all keynote and invited speakers, authors, programme committee members and anonymous reviewers whose work made this conference possible. Thanks are also due to the members of TPC and local committees for their efforts in fostering a successful FSDM conference. Last but not least, I would like to thank the editors and other colleagues from IOS Press for their joint efforts in publishing this volume in the book series Frontiers in Artificial Intelligence and Applications (FAIA) as the tenth edition of the FSDM conference series.

November 2024

Antonio J. Tallón-Ballesteros

unmapped: uri https://orcid.org/0000-0002-9699-1894

Department of Electronic, Computer Systems and Automation Engineering, University of Huelva (Spain), Huelva city, Spain