Which of the Following Best Describes Fuzzy Logic

In fuzzy logic a statement can assume any real value between 0 and 1 representing the degree to which an element belongs to a given set. Digital asset management systems help companies to classify store and distribute digital objects such as photographs graphic images video and audio content.


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Fuzzy logic is a type of _____ a data mining b neural network c intelligent technique d business intelligence.

. Fuzzy logic can describe _____. A Without knowledge collaboration is. Here we will try to cover all the frequently asked Soft Computing questions with the correct choice of answer among various options.

7 Which of the following best describes what a database management system tool is used for. It is a collection of related data organized in a way that facilitates data searches. You are an automotive engineer working on an application that will automatically parallel park a car.

A Collaboration is impossible without knowledge. Which of the following statements best describes the relationship between collaboration and knowledge management. And other purposes best describes.

Following are a few important points relating to the membership function. We already know that fuzzy logic is not logic that is fuzzy but logic that is used to describe fuzziness. The Levenshtein distance is a metric used to measure the difference between 2 string sequences.

D In 2010 the top-grossing category of. B a neural network. Which of the following statements best describes digital asset management systems.

There is only two crisp values true or false. In other words we can say that membership function represents the degree of truth in fuzzy logic. A In 2010 m-commerce represented less than 10 percent of all e-commerce.

Fuzzy logic is a process used in artificial intelligence applications that recognizes that not everything can be broken down to true or false answers. 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. Genetic algorithms are problem-solving methods that use the model of living organisms adapting to their environment.

This fuzziness is best characterized by its membership function. Which of the following describes a difference between neural networks and. It describes a particular phenomenon or process linguistically and then represents that logic in a small number of flexible rules.

Traditional set theory set membership is fixed or exact either the member is in the set or not. E a neural network. The terms used in a fuzzy logic system to describe imprecise states or conditions are referred to as.

Used to optimizes data storage. Fuzzy Name Matching Algorithms. It gives us a measure of the number of single character insertions deletions or substitutions required to change one string into another.

Big Data Which of the following is true of a database. A without knowledge collaboration is difficult. Fuzzy logic _____ describe s data collections that are characterized by huge volume rapid velocity and great variety.

Fuzzy logic is useful for both commercial and practical purposes. QUESTION 7 Which of the following best describes Business Intelligence. Raw facts that describe the characteristics of an event or object C.

C M-commerce applications are especially popular in Europe Japan and South Korea. O A Data converted into a meaningful context O B. The most successful solutions or problem-solving methods that have been developed by a specific organization or industry best describes.

35 Hardware and software that attempts to emulate the processing patterns of the biological brain best describes 35 A a neural network. Fuzzy logic is a type of. Fuzzy logic is a type of A data mining.

Which of the following statements best describes the relationship between collaboration and knowledge management. In traditional logic an object takes on a value of either zero or one. Used to optimize data storage enhance data quality and prevent unwanted access to data.

B M-commerce is the fastest growing form of e-commerce. Generally Soft Computing involves the basics of Fuzzy Logic Neural Networks and Genetic Algorithms. Asked May 7 2020 in Engineering by maynac.

Fuzzy Logic Fuzzy logic differs from classical logic in that statements are no longer black or white true or false on or off. Information collected from multiple sources that analyzes patterns trends and relationships The skills experience and expertise coupled with. Which of the following statements best describes the relationship between collaboration and knowledge management.

Fuzzy logic creates rules that use approximate or subjective values. The intelligent technique you may find most useful is. 1 Which of the following is associated with fuzzy logic.

B an expert system.


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