Which of the Following Best Describes Fuzzy Logic

Used to optimize data storage enhance data quality and prevent unwanted access to data. And other purposes best describes.

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Which of the following statements best describes the relationship between collaboration and knowledge management.

. Information collected from multiple sources that analyzes patterns trends and relationships The skills experience and expertise coupled with. In other words we can say that membership function represents the degree of truth in fuzzy logic. O A Data converted into a meaningful context O B.

This fuzziness is best characterized by its membership function. Which of the following describes a difference between neural networks and. Fuzzy logic is a type of _____ a data mining b neural network c intelligent technique d business intelligence.

Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. Which of the following is a software program that uses a built-in or learned knowledge. A In 2010 m-commerce represented less than 10 percent of all e-commerce.

Which of the following statements best describes the relationship between collaboration and knowledge management. The various steps involved in designing a fuzzy logic controller are as follows. B M-commerce is the fastest growing form of e-commerce.

Raw facts that describe the characteristics of an event or object C. It is a special-purpose info system designed to support organizational decision making related to a particular recurring problem. D In 2010 the top-grossing category of.

Which of the following statements best describes the relationship between collaboration and knowledge management. To maintain the distance of the mobile robot from the wall is a basic behavior that mobile robot should have. A without knowledge collaboration is difficult.

Fuzzy logic is a type of A data mining. Which of the following refers to rule-based AI tolerates imprecision by using non-specific terms called membership functions to solve problems. This paper describes the design of a fuzzy logic controller for wall following-navigation of a differentially steered mobile robot.

Fuzzy Name Matching Algorithms. The subsets include all the elements in the. A Collaboration is impossible without knowledge.

1 Which of the following is associated with fuzzy logic. It is employed to handle the concept of partial truth where the truth value may range between completely true and completely false. Fuzzy logic can describe a particular phenomenon or process linguistically and then represent that description in a small number of flexible rules TRUE Fuzzy logic systems learn patterns from large quantities of data by sifting through data searching for relationships building models and correcting over and over again the models own mistakes.

Here we will try to cover all the frequently asked Soft Computing questions with the correct choice of answer among various options. Allows expert system rules to be represented using approximations or subjective values in order to handle situations where. We already know that fuzzy logic is not logic that is fuzzy but logic that is used to describe fuzziness.

The most successful solutions or problem-solving methods that have been developed by a specific organization or industry best describes. The terms used in a fuzzy logic system to describe imprecise states or conditions are referred to as. QUESTION 7 Which of the following best describes Business Intelligence.

Fuzzy logic is useful for both commercial and practical purposes. Split the complete universe of discourse spanned by each variable into a number of fuzzy subsets assigning each with a linguistic label. The Levenshtein distance is a metric used to measure the difference between 2 string sequences.

By contrast in Boolean logic the truth values of variables may only be the integer values 0 or 1. Fuzzy logic _____ describe s data collections that are characterized by huge volume rapid velocity and great variety. C M-commerce applications are especially popular in Europe Japan and South Korea.

Generally Soft Computing involves the basics of Fuzzy Logic Neural Networks and Genetic Algorithms. It is a collection of related data organized in a way that facilitates data searches. Traditional set theory set membership is fixed or exact either the member is in the set or not.

This paper proposes embedded fuzzy logic controller in order to make the mobile robot can running with smoothly. A Without knowledge collaboration is. There is only two crisp values true or false.

It gives us a measure of the number of single character insertions deletions or substitutions required to change one string into another. Locate the input output and state variables of the plane under consideration. Following are a few important points relating to the membership function.

The term fuzzy logic was. 7 Which of the following best describes what a database management system tool is used for. Used to optimizes data storage.

Big Data Which of the following is true of a database.

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