Fuzzy approaches in anytime systems

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Nowadays practical solutions of engineering problems involve model integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing (SC), in particular fuzzy models, may have an exceptional role at many fields, especially in cases where the problem to be solved is highly nonlinear or when only partial, uncertain and/or inaccurate data is available. Nevertheless, ever so advantageous their usage can be, it is still limited by their exponentially increasing computational complexity. At the same time, there are other soft computing approaches which can counteract the nonadvantageous aspects of fuzzy (in general SC) techniques. Anytime processing is the youngest member of the soft computing family. Systems based on this approach are flexible with respect to the available input data, time, and computational power. They are able to work in changing circumstances and can ensure continuous operation in recourse, data, and time insufficient conditions with guaranteed response time and known error. Thus, combining fuzzy and anytime techniques is a possible way to overcome the difficulties caused by the high and explosive complexity of the applied models and algorithms. The vagueness of the design procedure of the models in respect of the necessary complexity can be vanquished by model optimization and anytime mode of operation because the former can filter out the redundancy while the latter is able to adaptively cope with the available, usually imperfect or even missing information, the dynamically changing, possibly insufficient amount of resources and reaction time. This chapter deals with the history and advantageous aspects of anytime fuzzy systems.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
Pages725-735
Number of pages11
Volume299
DOIs
Publication statusPublished - 2013

Publication series

NameStudies in Fuzziness and Soft Computing
Volume299
ISSN (Print)14349922

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Soft Computing
Soft computing
Modes of Operation
Vagueness
Reaction Time
Interpretability
Integrated Model
Inaccurate
Fuzzy Model
Optimization Model
Imperfect
Fuzzy Systems
Response Time
Redundancy
Computational Complexity
Flexibility
Integrate
Fuzzy systems
Model-based
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ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

Cite this

Várkonyi-Kóczy, A. (2013). Fuzzy approaches in anytime systems. In Studies in Fuzziness and Soft Computing (Vol. 299, pp. 725-735). (Studies in Fuzziness and Soft Computing; Vol. 299). https://doi.org/10.1007/978-3-642-35644-5-43

Fuzzy approaches in anytime systems. / Várkonyi-Kóczy, A.

Studies in Fuzziness and Soft Computing. Vol. 299 2013. p. 725-735 (Studies in Fuzziness and Soft Computing; Vol. 299).

Research output: Chapter in Book/Report/Conference proceedingChapter

Várkonyi-Kóczy, A 2013, Fuzzy approaches in anytime systems. in Studies in Fuzziness and Soft Computing. vol. 299, Studies in Fuzziness and Soft Computing, vol. 299, pp. 725-735. https://doi.org/10.1007/978-3-642-35644-5-43
Várkonyi-Kóczy A. Fuzzy approaches in anytime systems. In Studies in Fuzziness and Soft Computing. Vol. 299. 2013. p. 725-735. (Studies in Fuzziness and Soft Computing). https://doi.org/10.1007/978-3-642-35644-5-43
Várkonyi-Kóczy, A. / Fuzzy approaches in anytime systems. Studies in Fuzziness and Soft Computing. Vol. 299 2013. pp. 725-735 (Studies in Fuzziness and Soft Computing).
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