Example Let us consider a fuzzy system with two inputs x₁and x2 (antecedents) and a single output y (consequent).Inputs x and x₂ have three linguistic variables small, mediumand big with a triangular membership function. Output y hastwo linguistic variables small and big with a triangularmembership function as shown in Figure below. The rulebase consists of the following two rules:Rule 1: IF x is small AND xz is medium THEN y is bigRule 2: IF xis medium AND x2 is big THEN y is smallDemonstrate entire process of fuzzification, aggregation anddefuzzification in a fuzzy system and find the output whenthe inputs X₁ and x₂ equal 3.89 and 5.58, respectively.X1(a)x₁= 3.89smallAmedium91min[μ (x₁), M (x₂)]ANDANDbigX2Amedium Rule 1miniARU9Rule 2minX2=5.58Aggregation of Mig (y) and smallbigsmall(b)y(c)smallbig

The type-1 but also type-2 soft numbers: MFs are used to characterize all fuzzy sets. This double MF…

Example Let us consider a fuzzy system with two inputs x₁ and x2 (antecedents) and a single output y (consequent). Inputs x and x₂ have three linguistic variables small, medium and big with a triangular membership function. Output y has two linguistic variables small and big with a triangular membership function as shown in Figure below. The rule base consists of the following two rules: Rule 1: IF x is small AND x.is medium THEN y is big Rule 2: IF x is medium AND x.is big THEN y is small Demonstrate entire process of fuzzification, aggregation and defuzzification in a fuzzy system and find the output when the inputs x₁and x₂ equal 3.89 and 5.58, respectively. XI small Amedium Amedium Rule 1 min Rule 2 min Aggregation of Mig (v) and small (v) x= 3.89 AND AND big 1 minu (x₁)(x₂)] xy=5.58 big small y (c) small big 7

Example Let us consider a fuzzy system with two inputs x₁ and x2 (antecedents) and a single output y (consequent). Inputs x and x₂ have three linguistic variables small, medium and big with a triangular membership function. Output y has two linguistic variables small and big with a triangular membership function as shown in Figure below. The rule base consists of the following two rules: Rule 1: IF x is small AND x.is medium THEN y is big Rule 2: IF x is medium AND x.is big THEN y is small Demonstrate entire process of fuzzification, aggregation and defuzzification in a fuzzy system and find the output when the inputs x₁and x₂ equal 3.89 and 5.58, respectively. XI small Amedium Amedium Rule 1 min Rule 2 min Aggregation of Mig (v) and small (v) x= 3.89 AND AND big 1 minu (x₁)(x₂)] xy=5.58 big small y (c) small big 7

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

q21 q22
Which transport layer protocol is used by the point-to-point tunneling protocol?
Consider the case of a video store that wants a kiosk with intelligent software that can replace human checkout workers. A customer with an account can simply use their membership and credit card with a reader at the kiosk to check out a video. 1) Provide a use-case diagram 2) Write a formal (complete) use case for the Customer Checks Out a Movie scenario.
Problem 10. A decision tree is a representation of a complex decision process with multiple steps and factors. Consider the following decision tree representing the process of buying a car: Colour = Red No. Yes Model > 2010 Colour = Yellow No No Yes Yes Mileage < 50000KM Make = Ferrari Buy Dont Buy Yes No No Yes Buy Don't Buy Buy Dont Buy For this diagram: a) Write an argument, using propositions and logic connectives, based on the diagram. Determine whether we should buy a red Ford from 2008 with 34000KM mileage. b) Write at least one argument, using propositions and logic connectives, leading to the outcome that a red Ford was purchased.
Create a decision table and decision tree that will be use by the clerk at the Parcel Department in a Post Office. Use the rules illusrated below: If the goods that is going to be sent is an ordinary goods, use mail type delivery. If the goods that is going to be sent is based on higher priority, use the courier service if the distance is local (not more than 10km), delivery should be done by lorries transportation if the distance is slightly higher (more than 10km but not more than 150km), or air mail service is being used if the distance is more than 150 km. Each goods that need to be sent should be weight accordingly. If the value of the goods is more than RM250, it must be insured.
Provide the drawing, the type of machine and the string.
A group of international experts in fuzzy set theory were invited to classify the overall performance of two research scholars, after a lot of discussion they agreed to consider the following attributes(Creativity, presentation skills) in the classification of the scholar design a fuzzy inference system to find how would they judge similarity of the research scholars with varying attributes ?Explain the procedure in details. Solve using theoretical fuzzy logic rules, not code Skills 1 2 3 4 5 Creativity Presentation skills 1 No creativity Bad 2 Fair Fair 3 Good Good 4 Very good Very good 5 Excellent Excellent Creativity 1 5 4 3 2 1 2 4 4 3 2 1 345. 4 3 3 2 1 + 3 2 2 I 1 32111
A group of international experts in fuzzy set theory were invited to classify the overall performance of two research scholars, after a lot of discussion they agreed to consider the following attributes(Creativity, presentation skills) in the classification of the scholar .design a fuzzy inference system to find how would they judge similarity of the research scholars with varying attributes ?Explain the procedure in details. Creativity Skills 1 2 3 4 5 Presentation skills 1 No creativity Bad 2 Fair Fair 3 Good Good 4 Very good 5 Excellent Very good Excellent Creativity 1 5 4 3 2 1 2 4 4 3 2 1 3 4 3 3 2 1 + 3 2 2 1 1 5 3 2 1 1 1 B- Draw the Genetic algorithm flowchart and write the code for each step.
The block diagram shown in Figure 2 is an attempt to control the temperature of a plant using a fuzzy inference system. Figure 2 The control object is to maintain the temperature ?(?) at a desired level by manipulating the flow rate ?(?). The following is the transfer function the represents the relationship between ?(?) and ?(?): What is the input to the fuzzy logic controller? What is the output of the fuzzy logic controller? Given the fuzzy sets of the input shown in Figure 3 and the fuzzy sets of the output shown in Figure 4, formulate suitable fuzzy rules for this Tuning fuzzy systems may involve executing a number of actions in a certain order. What are these actions? Figure 3 Figure 4
Example Let us consider a fuzzy system with two inputs x₁ and x2 (antecedents) and a single output y (consequent). Inputs x and x₂ have three linguistic variables small, medium and big with a triangular membership function. Output y has two linguistic variables small and big with a triangular membership function as shown in Figure below. The rule base consists of the following two rules: Rule 1: IF x is small AND xz is medium THEN y is big Rule 2: IF x is medium AND x2 is big THEN y is small Demonstrate entire process of fuzzification, aggregation and defuzzification in a fuzzy system and find the output when the inputs X₁ and x₂ equal 3.89 and 5.58, respectively. X1 (a) x₁= 3.89 small Amedium 9 1 min["M₂ (x₁), M (x₂)] AND AND big X2 Amedium Rule 1 mini AR 9 Rule 2 0. min X2=5.58 Aggregation of big (v) and small (v) big small (b) y (c) small big
You build a model predicting blood pressure as a function of three variables: weight (numeric) age (numeric) income (categorical: low, medium, high) You first specify your model as: blood pressure ~ age * income + weight How many parameters (k) does your model have? (Remember, we do not count the grand mean in k) You change the above model specification to be: blood pressure ~ age * income + weight * income How many parameters does your model have now? You change your model to include the three-way interaction (which, remember, includes all two-way interactions and main effects, too!) Your model now looks like this: blood pressure ~ age * income * weight How many parameters does your model have now?
Write a Java program to simulate the behaviour of a model-based agent for a vacuum cleaner environment based on the following conditions: The vacuum cleaner can move to one of 4 squares: A, B, C, or D as shown in Table 1. Table 1: vacuum cleaner environment A B C D The vacuum cleaner checks the status of all squares and takes action based on the following order: If all squares are clean, the vacuum cleaner stays in its current location. If the current location is not clean, the vacuum cleaner stays in its current location to clean it up. The vacuum cleaner can only move horizontally or vertically (cannot move diagonally). The vacuum cleaner moves only one square at a time. Horizontal moves have the highest priority over vertical moves. The vacuum cleaner moves to another square only when it needs to be cleaned up. If a diagonal square needs to be cleaned up, the vacuum cleaner moves to its neighbour vertical square first. The vacuum cleaner action is…