Sugeno Systems | Graphical Techniques of Inference - Part II | Fuzzy Logic

Поделиться
HTML-код
  • Опубликовано: 24 ноя 2024

Комментарии • 38

  • @douglasarapo
    @douglasarapo 3 года назад +9

    In the 13:30 the correct value of y4 is 3, thank you for the great class.

    • @Topperly
      @Topperly  3 года назад +11

      Yes, it is. Apologies for the mistake and thank you for pointing it out! The correct value for y4 is 3 and the defuzzified value y* = 2.03

  • @miltonganesh8680
    @miltonganesh8680 2 года назад +1

    Thanks for clear explanation with an example.

    • @Topperly
      @Topperly  2 года назад +1

      Glad to hear that :)

  • @orderofchaos8680
    @orderofchaos8680 13 дней назад

    very helpful video, thanks!

  • @ananya_sutradhar
    @ananya_sutradhar Год назад

    Thank you for this video, I badly needed to understand this

  • @raniermoura3825
    @raniermoura3825 3 года назад

    Very well explained!!

    • @Topperly
      @Topperly  3 года назад +1

      Thank you for your kind words :)

  • @nadiabounouara0505
    @nadiabounouara0505 3 года назад

    Thank you for this explanation

    • @Topperly
      @Topperly  3 года назад

      Glad it was helpful! :)

  • @unnatishukla894
    @unnatishukla894 2 года назад +1

    Really helpful,thankyou
    😃

  • @harithobeid9521
    @harithobeid9521 2 года назад

    Thank you for the beautiful and interesting explanation, but I couldn't find the next video number (12,13,14,15,16) ,after defuzzification can u please give me the link .

  • @harithayodya3215
    @harithayodya3215 Год назад

    Thank You

  • @raihanmuhammad6689
    @raihanmuhammad6689 2 года назад

    Is it not a necessity that the total of all the membership values equals to 1 at any given point?

    • @Topperly
      @Topperly  2 года назад +1

      Hi Raihan,
      No... Membership values are not like probabilities :)

    • @raihanmuhammad6689
      @raihanmuhammad6689 2 года назад

      @@Topperly Thanks . I'll come back in 2 months to this video to say because of you I managed to finish my thesis 😊

  • @successor54
    @successor54 3 года назад

    ma'am,which operator is used in takagi and sugeno approach..or (or) and??

    • @Topperly
      @Topperly  3 года назад +1

      Both (OR) and (AND) operator is used. If (OR) operator is used, take the maximum of the membership values of the two inputs and if (AND) operator is used, the minimum of the membership values of the two inputs should be considered. :)

    • @successor54
      @successor54 3 года назад

      @@Topperly in TSK fuzzylogic control ,strength of fired rule is determined by which operator ma'am

  • @muhammadshehbazaslam4549
    @muhammadshehbazaslam4549 3 года назад

    What is advantage of Madani over Sugeno?
    Because it is difficult to obtain functions in Sugeno for me? So how I can validate that Madani is better than sugeno

    • @muhammadshehbazaslam4549
      @muhammadshehbazaslam4549 3 года назад

      *mamdani

    • @Topperly
      @Topperly  3 года назад +1

      There's no apparent advantage of Mamdani over Sugeno. We use each method considering the application in hand and which suits the application better :)

  • @serhatozbey6872
    @serhatozbey6872 3 года назад

    Which implication and aggregation method did you use? Thank you.

    • @Topperly
      @Topperly  3 года назад +1

      Could you please provide the timestamp which you are referring to?

    • @serhatozbey6872
      @serhatozbey6872 3 года назад

      @@Topperly I've seen on the Mathworks website that the Sugeno method always uses prod for implication and sum for aggregation. For example, where did we perform the implication and aggregation process in the example in the 7th minute? Thanks.

  • @ProfessorGovalla
    @ProfessorGovalla 3 года назад

    How do you find the function for y= f(x1, x2) for Sugeno Systems? For example why did you use 'y1 = (-x1) + x2 +1', Where does this come from?
    Please help :). And thank you for the amazing videos.

    • @Topperly
      @Topperly  3 года назад +4

      Incase of Sugeno systems, the equation will be given with the questions. Here the consequent is expressed in form of f(x,y), so the functions for each rule will be specified within the question. Generally for any Sugeno system, the equations are developed with the help of an expert who has years of experience in the system we are modeling. But with reference to the problems based on Sugeno, the functions will be provided along with the question. :)

  • @muhammadyezabaihaqi2215
    @muhammadyezabaihaqi2215 3 года назад

    what are the r1 and r2?

    • @Topperly
      @Topperly  3 года назад

      r1 and r2 are constants. For instance, if you watch the example from 05:48, r in the Rule 1 is 1, r in the rules 2 is 3 and so on :)

    • @muhammadyezabaihaqi2215
      @muhammadyezabaihaqi2215 3 года назад

      I see, I have another question. How do we make the y? I am currently designing FLS using Sugeno but I confuse in making the y formula

    • @Topperly
      @Topperly  3 года назад +1

      Please watch lecture number 21 and 22 in our fuzzy logic playlist. It'll give you an insight :)

  • @padmajakatta4757
    @padmajakatta4757 3 года назад

    Sugeno parameter estimation using LSE

    • @Topperly
      @Topperly  3 года назад

      Sorry, we didn't get you!

  • @juancnunezm2518
    @juancnunezm2518 4 месяца назад

    😊