Bernadette Bouchon-Meunier is a retired French computer scientist specializing in fuzzy logic. She is a director of research, emeritus, for the French National Centre for Scientific Research (CNRS), the former head of the Department of Databases and Machine Learning (DAPA) in LIP6, a computer science laboratory operated jointly by CNRS and Pierre and Marie Curie University, editor-in-chief of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , and a past president of the IEEE Computational Intelligence Society. [1]
Bouchon-Meunier studied at the École normale supérieure Paris-Saclay and has bachelor's and doctoral degrees from Pierre and Marie Curie University. [1] Her work in fuzzy logic began in 1973, through the analysis of natural-language responses to survey questionnaires in sociology. [2]
She is editor-in-chief of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , [3] and was president of the IEEE Computational Intelligence Society for 2020 and 2021. [4]
Bouchon-Meunier was the 2012 recipient of the IEEE Computational Intelligence Society Meritorious Service Award, the 2018 recipient of the society's Fuzzy Systems Pioneer Award, [5] and the 2024 recipient of the IEEE Frank Rosenblatt Award. [6]
She was named as an IEEE Fellow in 2011, "for contributions to theoretical foundations for reasoning and applications to practical devices". [7] She is also a Fellow of the International Fuzzy Systems Association. [8]
Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1.
Lotfi Aliasker Zadeh was a mathematician, computer scientist, electrical engineer, artificial intelligence researcher, and professor of computer science at the University of California, Berkeley. Zadeh is best known for proposing fuzzy mathematics, consisting of several fuzzy-related concepts: fuzzy sets, fuzzy logic, fuzzy algorithms, fuzzy semantics, fuzzy languages, fuzzy control, fuzzy systems, fuzzy probabilities, fuzzy events, and fuzzy information. Zadeh was a founding member of the Eurasian Academy.
Computational semiotics is an interdisciplinary field that applies, conducts, and draws on research in logic, mathematics, the theory and practice of computation, formal and natural language studies, the cognitive sciences generally, and semiotics proper. The term encompasses both the application of semiotics to computer hardware and software design and, conversely, the use of computation for performing semiotic analysis. The former focuses on what semiotics can bring to computation; the latter on what computation can bring to semiotics.
The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.
Sankar Kumar Pal is a computer scientist and the president of the Indian Statistical Institute (ISI), Kolkata. He is also a National Science Chair, Government of India. Pal is a computer scientist with an international reputation on pattern recognition, image processing, fuzzy neural network, rough fuzzy hybridization, soft computing, granular mining, and machine intelligence. He pioneered the development of fuzzy set theory, and neuro-fuzzy and rough-fuzzy computing for uncertainty modelling with demonstration in pattern recognition, image processing, machine learning, knowledge-based systems and data mining. Pal is widely recognized across the world for his pioneering and extraordinary contributions in Machine Intelligence, Fuzzy Logic, Soft Computing and Pattern Recognition. This has made India a leader in these disciplines in international scenario. He founded the Machine Intelligence Unit in 1993, and the Center for Soft Computing Research: A National Facility in 2004, both at the ISI. In the process he has created many renowned scientists out of his doctoral students.
John Yen is Professor of Data Science and Professor-in-Charge of Data Science in the College of Information Sciences and Technology at Pennsylvania State University. He currently leads the Laboratory of AI for Cyber Security at Penn State. He was the founder and a former director of the Cancer Informatics Initiative there.
Moshe Ya'akov Vardi is an Israeli mathematician and computer scientist. He is the Karen Ostrum George Distinguished Service Professor in Computational Engineering at Rice University, United States. and a faculty advisor for the Ken Kennedy Institute. His interests focus on applications of logic to computer science, including database theory, finite model theory, knowledge of multi-agent systems, computer-aided verification and reasoning, and teaching logic across the curriculum. He is an expert in model checking, constraint satisfaction and database theory, common knowledge (logic), and theoretical computer science.
George Jiří Klir was a Czech-American computer scientist and professor of systems sciences at Binghamton University in Binghamton, New York.
IEEE Intelligent Systems is a bimonthly peer-reviewed academic journal published by the IEEE Computer Society and sponsored by the Association for the Advancement of Artificial Intelligence (AAAI), British Computer Society (BCS), and European Association for Artificial Intelligence (EurAI).
Brian R. Gaines is a British scientist, engineer, and Professor Emeritus at the University of Calgary.
Ronald Fagin is an American mathematician and computer scientist, and IBM Fellow at the IBM Almaden Research Center. He is known for his work in database theory, finite model theory, and reasoning about knowledge.
Type-2 fuzzy sets and systems generalize standard Type-1 fuzzy sets and systems so that more uncertainty can be handled. From the beginning of fuzzy sets, criticism was made about the fact that the membership function of a type-1 fuzzy set has no uncertainty associated with it, something that seems to contradict the word fuzzy, since that word has the connotation of much uncertainty. So, what does one do when there is uncertainty about the value of the membership function? The answer to this question was provided in 1975 by the inventor of fuzzy sets, Lotfi A. Zadeh, when he proposed more sophisticated kinds of fuzzy sets, the first of which he called a "type-2 fuzzy set". A type-2 fuzzy set lets us incorporate uncertainty about the membership function into fuzzy set theory, and is a way to address the above criticism of type-1 fuzzy sets head-on. And, if there is no uncertainty, then a type-2 fuzzy set reduces to a type-1 fuzzy set, which is analogous to probability reducing to determinism when unpredictability vanishes.
The IEEE Frank Rosenblatt Award is a Technical Field Award established by the Institute of Electrical and Electronics Engineers Board of Directors in 2004. This award is presented for outstanding contributions to the advancement of the design, practice, techniques, or theory in biologically and linguistically motivated computational paradigms, including neural networks, connectionist systems, evolutionary computation, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained.
The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems was founded in 1993 and is published bimonthly by World Scientific. It covers research on methodologies for the management of uncertainty. Topics include expositions on methods such as Bayesian and probabilistic methods, nonstandard logic, as well as applications, such as in image processing, conflict resolution, and databases. The journal does not publish papers on pure fuzzy mathematics, such as fuzzy topology or fuzzy algebra.
Ronald Robert Yager is an American researcher in computational intelligence, decision making under uncertainty and fuzzy logic. He is currently Director of the Machine Intelligence Institute and Professor of Information Systems at Iona College.
Janusz Kacprzyk is a Polish engineer and mathematician, notable for his contributions to the field of computational and artificial intelligence tools like fuzzy sets, mathematical optimization, decision making under uncertainty, computational intelligence, intuitionistic fuzzy sets, data analysis and data mining, with applications in databases, ICT, mobile robotics and others.
Soft computing is an umbrella term used to describe types of algorithms that produce approximate solutions to unsolvable high-level problems in computer science. Typically, traditional hard-computing algorithms heavily rely on concrete data and mathematical models to produce solutions to problems. Soft computing was coined in the late 20th century. During this period, revolutionary research in three fields greatly impacted soft computing. Fuzzy logic is a computational paradigm that entertains the uncertainties in data by using levels of truth rather than rigid 0s and 1s in binary. Next, neural networks which are computational models influenced by human brain functions. Finally, evolutionary computation is a term to describe groups of algorithm that mimic natural processes such as evolution and natural selection.
Mariagrazia Dotoli is an Italian systems engineer and control theorist whose research involves the optimization of supply chain management and traffic control in smart cities, fuzzy control systems, and the use of Petri nets in modeling these applications as discrete event dynamic systems. She is Professor in Systems and Control Engineering in the Department of Electrical and Information Engineering at the Polytechnic University of Bari.
Jerry M. Mendel is an engineer, academic, and author. He is professor emeritus of Electrical and Computer Engineering at the University of Southern California.