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What is expert system ? 


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An expert system is a computer-based application that utilizes the knowledge and reasoning capabilities of experts in various fields to solve complex problems . These systems are designed to mimic the decision-making processes of human experts and provide solutions or recommendations based on the information stored in their knowledge base. Expert systems can assist in diagnosing computer issues , determining child learning styles, detecting child psychology based on symptoms, and supporting doctors in medical diagnoses. By incorporating algorithms like Dempster Shafer and Cosine Algorithm, expert systems can effectively analyze data and draw conclusions, making them valuable tools for problem-solving in various domains.

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An expert system in medicine aids diagnosis by drawing conclusions from stored data. It utilizes fuzzy rules for dental disease diagnosis, incorporating fuzzy clustering and possibility measures for accurate assessments.
An expert system is a computer application utilizing psychology experts' knowledge to determine children's learning styles, aiding in understanding emotions and enhancing educational approaches effectively.
An expert system is an AI branch embedding expert knowledge in a computer to provide definite solutions, like detecting flash disk damage and solutions using the Dempster Shafer method.
An expert system is a computer-based method utilizing facts, knowledge, and reasoning to solve complex issues, mimicking human expertise in specific domains like computer damage diagnosis.
An expert system is a knowledge-based system that aids in problem-solving by utilizing stored expertise. It assists users in addressing various complexities without the need for field experts.

Related Questions

What is artificial intelligent?4 answersArtificial intelligence (AI) refers to the ability of computers to mimic human intelligence and perform tasks that typically require human cognitive functions. AI is a multidisciplinary field that aims to automate activities currently reliant on human intelligence. It involves mathematical algorithms that replicate human brain functions, with applications ranging from information processing to decision-making. AI is revolutionizing various sectors, including healthcare, where it aids in diagnosing diseases like cancer, offering treatment options, and enhancing clinical decision-making processes. Furthermore, AI's role extends to speech recognition, computer vision, language translation, and other complex tasks, showcasing its versatility and potential in transforming daily life activities. In essence, AI serves as a powerful tool that, when used appropriately, can benefit human resources across different fields while emphasizing the importance of understanding its applications and limitations.
What is an Artificial intelligence?5 answersArtificial intelligence (AI) refers to the intelligence demonstrated by machines, where they can perceive, synthesize, and infer information. It is different from the intelligence displayed by non-human animals and humans. AI involves tasks such as speech recognition, computer vision, and translation between languages, among others. The Oxford English Dictionary defines AI as the ability of machines to exhibit intelligence.
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What is artificial intelligence/?5 answersArtificial intelligence (AI) refers to the ability of machines or computer systems to simulate and perform tasks that would typically require human intelligence. AI is based on the use of machine learning algorithms and technologies to give machines the ability to apply cognitive abilities and perform tasks autonomously or semi-autonomously. AI can have different degrees of cognitive capacity and autonomy, ranging from weak or limited to general or superlative. As AI improves, processes become more efficient, and complex tasks can be performed more quickly and accurately. AI collects, processes, and learns from data to perform automated tasks and decision-making optimally and efficiently. It is used in various applications such as speech recognition, image recognition, real-time recommendations, virus and spam prevention, and natural language processing. AI research aims to recreate human intelligence in machines and involves understanding intelligence, reasoning, learning, and effective human-AI interaction.
What is artificial intelligence ?5 answersArtificial intelligence (AI) refers to the ability of machines or computer systems to simulate and perform tasks that would typically require human intelligence. It involves the use of machine learning algorithms and technologies to give machines cognitive abilities and the capacity to perform tasks autonomously or semi-autonomously. AI can be categorized based on its degree of cognitive capacity or autonomy, ranging from weak or limited to general or superlative. As AI continues to improve, processes are becoming more efficient, and tasks that are currently complex will be performed more quickly and accurately. AI collects, processes, and learns from data to perform automated tasks and decision-making optimally and efficiently. It is used in various applications such as speech recognition, image recognition, real-time recommendations, and natural language processing. AI is a multidisciplinary field that aims to automate tasks requiring human intelligence and is revolutionizing various aspects of life. The term "artificial intelligence" was coined in 1956 and refers to machines that can learn from experience, adapt to new inputs, and perform tasks associated with human intelligence. AI aims to create machines as intelligent as humans and involves various fields such as technology, psychology, neuroscience, biology, mathematics, social science, and philosophy.
What is fuzzy expert systems?5 answersFuzzy expert systems are computer-based systems that use fuzzy logic to handle uncertainties generated by imprecise, incomplete, and/or vague information. These systems mimic the logical processes of human experts or organizations to provide advice in a specific domain of knowledge. They combine experimental and experiential knowledge with intuitive reasoning skills to aid decision-making. Fuzzy expert systems have been applied in various fields such as software fault diagnosis, medical diagnosis, and agriculture. They are used to manage uncertainty and solve problems that cannot be effectively addressed using conventional methods. Fuzzy expert systems utilize fuzzy inference and reasoning techniques to process incomplete and fuzzy information. These systems are designed to co-operate and coordinate in distributed environments. Overall, fuzzy expert systems provide a valuable tool for decision support and problem-solving under uncertainty.

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