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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Reichardt, R.: Digital reference overload: thoughts on how to deal. Internet Reference Services Quarterly 11(2), 105–112 (2006)
Cisco Visual Networking Index: Forecast and Methodology (2009-2014)
Data, data everywhere. Special report: Managing information. The Economist, February 27-March 5, pp. 1-16 (2010)
Internet 2010 in numbers, http://royal.pingdom.com/2011/01/12/internet-2010-in-numbers/
Gantz, J., Reinsel, D.: The Digital Universe Decade-Are You Ready? IDC-Analyze the Future, 16 p. (May 2009) (This explosive growth means that by 2020, our Digital Universe will be 44 times as big as it was in 2009)
The Expanding Digital Universe. An IDC White Paper (2010), http://www.emc.com/collateral/analyst-reports/expanding-digital-idc-white-paper.pdf
Goser, K., Glösekötter, P., Dienstuhl, J.: Nanoelectronics and nanosystems: from transistors to molecular and quantum devices, p. 284. Springer (2004)
Mermin, N.D.: From Cbits to Qbits: Teaching computer scientists quantum mechanics. Am. J. Phys. 71, 23–30 (2003)
Deutsch, D.: Quantum Theory, the Church-Turing Principle and the Universal Quantum Computer. Proc. Roy. Soc., Lond. A400(1818), 97–117 (1985)
Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems 4(2), 103–111 (1996)
D’hooghe, B., Pykacz, J., Zapatrin, R.: Quantum Computation of Fuzzy Numbers. International Journal of Theoretical Physics 43(6), 1423–1432 (2004)
Kanfmann, A.: Introduction to the Theory of Fuzzy Subsets, vol. 1. Academic Press, New York (1975)
Shor, P.W.: Algorithms of quantum computation: Discrete logarithms and factoring. In: Proceedings of the 35th Annual Symposium of the Foundations of Computer Sciences, pp. 124–134. IEEE Computer Society Press (1994)
Rocha, A.F., Massad, E.: The Brain: Fuzzy Arithmetic to Quantum Computing (Studies in Fuzziness and Soft Computing), vol. 165, p. 234. Springer (2004)
Shankin, G.P.: The value information. The Theory and Applications–Filomatis, 128 p. (2004)
Zadeh, L.A.: Computing with words (CW) and its application to decision support and systems analysis. In: 2003 IEEE International Symposium on Intelligent Signal Processing, pp. 1–2 (2003)
Zadeh, L.A.: The concept of a generalized constraint - a bridge from natural languages to mathematics. In: 2005 IEEE International Workshop on Annual Meeting of the North American Intelligent Signal Processing Fuzzy Information Processing Society, NAFIPS 2005, pp. 1–6 (2005)
Zadeh, L.A.: Computing with Words and perceptions—A paradigm shift. In: IEEE International Conference on Information Reuse & Integration, IRI 2009, pp. viii–x (2009)
Zadeh, L.A.: From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 46(1), 105–119 (1999)
Zadeh, L.A., Kacprzyk, J. (eds.): Computing With Words in Information/Intelligent Systems 1 & 2. Physica-Verlag, New York (1999)
Abbasov, A.M., Fatullayev, A.B.: Forming the set of recognition units for the speech recognition system for the Azerbaijani language. Applied and Computational Mathematics  6(2), 181–191 (2007)
Zadrozny, S., Kacprzyk, J.: computing with words for text processing: An approach to the text categorization. Information Sciences 176, 415–437 (2006)
Havens, C.T., Kellen, M.J.: Popescn ontological Self-Organizing Map. IEEE Transaction of Fuzzy Systems 18(3) (2010)
Zadeh, L.A.: Toward a generalized theory of uncertainty (GTU) – an outline. Information Sciences 172(1-2), 1–40 (2005)
Barabasi, A.L., Bonabeau, E.: Scale-Free Networks. Scientific American, 50–59 (May 2003)
Barabasi, A.-L.: Scale-Free Networks: A Decade and Beyond. Science, 412–414 (July 24, 2009)
Kimble, H.J.: The quantum Internet. Nature 453, 1023–1030 (2008)
Zadeh, L.A.: Fuzzy logic and approximate reasoning. Synthese 30, 407–428 (1975)
Zadeh, L.A.: A theory of approximate reasoning. In: Hayes, J., Michie, D., Mikulich, L.I. (eds.) Machine Intelligence, vol. 9, pp. 149–194. Halstead Press, New York (1979)
Yager, R.R., Ovchinnikov, S., Tong, R., Nguyen, H.: Fuzzy Sets and Applications: Selected Papers by L. A. Zadeh. John Wiley & Sons, New York (1987)
Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems 4, 103–111 (1996)
Zadeh, L.A.: Outline of a computational theory of perceptions based on computing with words. In: Sinha, N.K., Gupta, M.M. (eds.) Soft Computing and Intelligent Systems, pp. 3–22. Academic Press, Boston (1999)
Zadeh, L.A.: A new direction in AI - toward a computational theory of perceptions. AI Magazine 22(1), 73–84 (2001)
Zadeh, L.A.: Toward a logic of perceptions based on fuzzy logic. In: Novak, W., Perfilieva, I. (eds.) Discovering the World with Fuzzy Logic, pp. 4–28. Physica-Verlag, Heidelberg (2001)
Zadeh, L.A.: Toward a perception-based theory of probabilistic reasoning with imprecise probabilities. Journal of Statistical Planning and Inference 105, 233–264 (2002)
Zadeh, L.A.: A note on Z-numbers. Information Science 181, 2923–2932 (2011)
Yager, R.R.: On Z-valuations using Zadeh’s Z-numbers. International Journal of Intelligent Systems 27, 259–278 (2012)
Yager, R.R.: A new approach to the summarization of data. Information Sciences 28, 69–86 (1982)
Yager, R.R.: On linguistic summaries of data. In: Proceedings of IJCAI Workshop on Knowledge Discovery in Databases, Detroit, pp. 378–389 (1989)
Yager, R.R.: Intelligent social network analysis using granular computing. International Journal of Intelligent Systems 23, 1197–1210 (2008)
Yager, R.R.: Concept representation and database structures in fuzzy social relational networks. IEEE Transactions on Systems, Man and Cybernetics: Part A 40, 413–419 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-34922-5_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34921-8
Online ISBN: 978-3-642-34922-5
eBook Packages: EngineeringEngineering (R0)