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  • Quantitative Logic and Soft Computing: Vol 2
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      • Publisher's listprice EUR 320.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        133 130 Ft (126 791 Ft + 5% VAT)
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    133 130 Ft

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    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2010
    • Publisher Springer Berlin Heidelberg
    • Date of Publication 15 September 2010
    • Number of Volumes 1 pieces, Book

    • ISBN 9783642156595
    • Binding Paperback
    • No. of pages800 pages
    • Size 235x155 mm
    • Weight 2570 g
    • Language English
    • Illustrations 800 p. 75 illus. Illustrations, black & white
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    Long description:

    Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, “Soft Computing Techniques” is the concept coined by Lot? Zadeh, referring to “a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ” Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of “exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ” The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one’s intuition and experience, an engineer can build and realize hum- like systems by smartly mixing proper technical tools effectivelyand ef?ciently in a wide range of ?elds. For some time, the soft computing techniques are also referred to as intelligent computing tools.

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    Table of Contents:

    Part 1 Keynote Speakers.- Part 2 Quantitative Logic.- Part 3 Fuzzy Sets and Systems.- Part 4 Soft Computing.

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