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

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  • เผยแพร่เมื่อ 6 ก.ย. 2024

ความคิดเห็น • 37

  • @douglasarapo
    @douglasarapo 3 ปีที่แล้ว +8

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

    • @Topperly
      @Topperly  3 ปีที่แล้ว +9

      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 ปีที่แล้ว +1

    Thanks for clear explanation with an example.

    • @Topperly
      @Topperly  2 ปีที่แล้ว +1

      Glad to hear that :)

  • @ananya_sutradhar
    @ananya_sutradhar 11 หลายเดือนก่อน

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

  • @unnatishukla894
    @unnatishukla894 2 ปีที่แล้ว +1

    Really helpful,thankyou
    😃

  • @nadiabounouara0505
    @nadiabounouara0505 3 ปีที่แล้ว

    Thank you for this explanation

    • @Topperly
      @Topperly  2 ปีที่แล้ว

      Glad it was helpful! :)

  • @raniermoura3825
    @raniermoura3825 2 ปีที่แล้ว

    Very well explained!!

    • @Topperly
      @Topperly  2 ปีที่แล้ว +1

      Thank you for your kind words :)

  • @harithayodya3215
    @harithayodya3215 10 หลายเดือนก่อน

    Thank You

    • @Topperly
      @Topperly  10 หลายเดือนก่อน

      Welcome!

  • @raihanmuhammad6689
    @raihanmuhammad6689 2 ปีที่แล้ว

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

    • @Topperly
      @Topperly  2 ปีที่แล้ว +1

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

    • @raihanmuhammad6689
      @raihanmuhammad6689 2 ปีที่แล้ว

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

  • @muhammadshehbazaslam4549
    @muhammadshehbazaslam4549 3 ปีที่แล้ว

    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 ปีที่แล้ว

      *mamdani

    • @Topperly
      @Topperly  2 ปีที่แล้ว +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 ปีที่แล้ว

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

    • @Topperly
      @Topperly  3 ปีที่แล้ว +1

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

    • @serhatozbey6872
      @serhatozbey6872 3 ปีที่แล้ว

      @@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.

  • @harithobeid9521
    @harithobeid9521 2 ปีที่แล้ว

    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 .

  • @juancnunezm2518
    @juancnunezm2518 2 หลายเดือนก่อน

    😊

  • @successor54
    @successor54 3 ปีที่แล้ว

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

    • @Topperly
      @Topperly  3 ปีที่แล้ว +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 ปีที่แล้ว

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

  • @muhammadyezabaihaqi2215
    @muhammadyezabaihaqi2215 2 ปีที่แล้ว

    what are the r1 and r2?

    • @Topperly
      @Topperly  2 ปีที่แล้ว

      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 2 ปีที่แล้ว

      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  2 ปีที่แล้ว +1

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

  • @padmajakatta4757
    @padmajakatta4757 3 ปีที่แล้ว

    Sugeno parameter estimation using LSE

    • @Topperly
      @Topperly  3 ปีที่แล้ว

      Sorry, we didn't get you!

  • @ProfessorGovalla
    @ProfessorGovalla 3 ปีที่แล้ว

    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 ปีที่แล้ว +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. :)