首页|Studies from University of Belgrade Yield New Information about Robotics (Multip le Attribute Decision-making Model for Artificially Intelligent Last-mile Delive ry Robots Selection In Neutrosophic Square Root Environment)
Studies from University of Belgrade Yield New Information about Robotics (Multip le Attribute Decision-making Model for Artificially Intelligent Last-mile Delive ry Robots Selection In Neutrosophic Square Root Environment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting originating in Belgrade, Serbia, by NewsRx journalists, research stated, "We introduce novel methodological techniques for decision-making with multiple attributes utilizing logarithmic square root neutr osophic vague sets. One important thing is that we improved decision-making by a dding logarithmic square root neutrosophic ambiguous weighted operators." The news reporters obtained a quote from the research from the University of Bel grade, "Logarithmic square root, neutrosophic imprecise weighted averaging, geom etric procedures, and expanded versions of these are some of the data processing methodologies that we explore. The use of Hamming distances and Euclidean dista nces in decisionmaking situations is illustrated by real-world instances. To cla rify the basic properties of these sets, the research uses an algebraic framewor k. Numerous domains make use of neural networks, including translation, medical diagnosis, and picture and speech recognition. Developing multipurpose artificia lly intelligent robots with analytical, functional, visual, interactive, and tex tual capabilities relies heavily on the synergy between computer science and mac hine tool technology. This is especially true when it comes to the evolution of artificial intelligence. The operating procedures, expenses, time, and externali zes of an artificially intelligent robot system should be considered while asses sing its quality. Finding the best answer from a list of possibilities is made e asier with the help of expert views and established criteria. By comparing them to other methods, we verify and show that the suggested models work."
BelgradeSerbiaEuropeEmerging Techn ologiesMachine LearningNano-robotRoboticsUniversity of Belgrade
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