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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 291))

Abstract

This report presents new approaches to managing information resources to address the problems that result from rapid information growth. It provides a current-state analysis and shows how nanoelectronics can enable the use of physical resources, such as high-capacity storage elements, new sensors, high-speed computing, and data transmission networks.

The report investigates new computing platforms, emerging information models and architectures, and their potential impact on information management. Furthermore, it shows that unlike the traditional number-based form of computing, computing based on perceptions may open up new horizons in the field of information management by making a shift from quantitative to qualitative information measurement in real-world situations. It suggests that the quantum features of nanoelements can enable the implementation of the necessary operations in this shift from quantitative to qualitative information processing.

Finally, it describes the substitution of Boolean Algebra by Lotfi Zadeh’s fuzzy sets and fuzzy logic, which makes it possible to investigate new approaches to the management of information resources.

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Correspondence to Ali M. Abbasov .

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Abbasov, A.M. (2013). Information Boom: New Trends and Expectations. In: Yager, R., Abbasov, A., Reformat, M., Shahbazova, S. (eds) Soft Computing: State of the Art Theory and Novel Applications. Studies in Fuzziness and Soft Computing, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34922-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-34922-5_1

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