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Cover image for Handling Uncertainty in Artificial Intelligence
Title:
Handling Uncertainty in Artificial Intelligence
Author:
Chaki, Jyotismita. author.
ISBN:
9789819953332
Edition:
1st ed. 2023.
Physical Description:
XIII, 101 p. 42 illus., 2 illus. in color. online resource.
Series:
SpringerBriefs in Computational Intelligence,
Contents:
Introduction to handling uncertainty in artificial intelligence -- Probability and Bayesian Theory to Handle Uncertainty in artificial intelligence -- The Dempster-Shafer Theory to handle uncertainty in artificial intelligence -- Certainty factor and evidential reasoning to handle uncertainty in artificial intelligence -- A fuzzy logic-based approach to handle uncertainty in artificial intelligence -- Decision-making under uncertainty in artificial intelligence -- Applications of different methods to handle uncertainty in artificial intelligence.
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