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On the Power of Fuzzy Markup Language by Bruno N. Di Stefano (auth.), Giovanni Acampora, Vincenzo PDF

By Bruno N. Di Stefano (auth.), Giovanni Acampora, Vincenzo Loia, Chang-Shing Lee, Mei-Hui Wang (eds.)

ISBN-10: 3642354874

ISBN-13: 9783642354878

ISBN-10: 3642354882

ISBN-13: 9783642354885

One of the main profitable method that arose from the global diffusion of Fuzzy good judgment is Fuzzy regulate. After the 1st makes an attempt dated within the seventies, this system has been generally exploited for controlling many commercial parts and platforms. whilst, and intensely independently from Fuzzy common sense or Fuzzy keep watch over, the delivery of the internet has impacted upon just about all features of computing self-discipline. Evolution of internet, Web2.0 and internet 3.0 has been making situations of ubiquitous computing even more possible; hence details know-how has been completely built-in into daily items and activities.

What occurs whilst Fuzzy common sense meets net know-how? attention-grabbing effects may possibly pop out, as you will find during this e-book. Fuzzy Mark-up Language is a son of this synergistic view, the place a few technological problems with net are re-interpreted taking into consideration the obvious thought of Fuzzy keep an eye on, as mentioned right here. the idea that of a Fuzzy keep an eye on that's conceived and modeled by way of a local net knowledge represents one other step in the direction of the final photograph of Pervasive internet Intelligence.

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Fuzzy memory device. In: Proc. 2nd IFSA Congress, Tokyo, Japan, pp. 551–555 (1987) 22. : Automatic train operation by predictive fuzzy control. In: Sugeno, M. ) Industrial Applications of Fuzzy Control, pp. 1–18. North- Holland, Amsterdam (1985) 23. : Fuzzy control for automatic train operation system. In: Proc. 4th IFAC/ IFIP/ IFORS Int. Congress on Control in Transportation Systems (1983) 24. : Evaluation of an automatic container crane operation system based on predictive fuzzy control. Control Theory and Advanced Technology 2, 419–432 (1986) 25.

0 ” Param3=” 1 5 . 0 ”/> Listing 1 FML code to model a portion of the tipper knowledge base respectively, the and and or algorithm to use by default.

551–555 (1987) 19. : Automatic train operation by predictive fuzzy control. In: Sugeno, M. ) Industrial Applications of Fuzzy Control, pp. 1–18. North- Holland, Amsterdam (1985) 20. : Evaluation of an automatic container crane operation system based on predictive fuzzy control. Control Theory and Advanced Technology 2, 419–432 (1986) 21. : Fuzzy sets. Information and Control 8, 338–353 (1965) 22. : Fuzzy algorithm. Information and Control 12, 94–102 (1968) 23. : Toward a theory of fuzzy systems.

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On the Power of Fuzzy Markup Language by Bruno N. Di Stefano (auth.), Giovanni Acampora, Vincenzo Loia, Chang-Shing Lee, Mei-Hui Wang (eds.)


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