Abstract
Fusion of Information and Analytics Technologies (FIAT) are key enablers for the design of current and future decision support systems to support prognosis, diagnosis, and prescriptive tasks in such complex environments. Hundreds of methods and technologies exist, and possibility theory is one of them. Several books have been dedicated to either analytics or information fusion so far. This chapter is a sort of conclusion for this book on the use of possibility theory in the design of information fusion systems. It presents the overall picture of FIAT-based design in which possibility theory can be of practical use.
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Notes
- 1.
Cybernetics: Cybernetics is a transdisciplinary approach for exploring how the scientific study of how humans, animals, and machines control and communicate with each other. Cybernetics is very relevant to mechanical, physical, biological, cognitive, and social systems (e.g., CPSS). The essential goal of the broad field of cybernetics is to understand and define the functions and processes of systems that have goals and that participate in circular, causal chains that move from action to sensing to comparison with desired goal and again to action.
- 2.
Synergetics: Synergetics is the empirical study of systems in transformation, with an emphasis on total system behavior unpredicted by the behavior of any isolated components, including humanity’s role as both participant and observer. (https://en.wikipedia.org/wiki/Synergetics_(Fuller)).
- 3.
Cybernics: Cybernics is a new interdisciplinary field study of technology that enhances, strengthens, and supports physical and cognitive functions of human beings, based on the fusion of human, machine, and information systems. The design of a seamless interface for interaction between the interior and exterior of the human body taking into account aspects such as the physical, neurophysiological, and cognitive levels [20].
- 4.
Mechatronics: Mechatronics is a multidisciplinary branch of engineering that focuses on the engineering of both electrical and mechanical systems and also includes a combination of robotics, electronics, computer, telecommunications, systems, control, and product engineering.
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Solaiman, B., Bossé, É. (2019). The Use of Possibility Theory in the Design of Information Fusion Systems. In: Possibility Theory for the Design of Information Fusion Systems. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-32853-5_9
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DOI: https://doi.org/10.1007/978-3-030-32853-5_9
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