
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.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-99-5333-2Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
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Searching... | E-Book | 527759-1001 | ONLINE | Searching... | Searching... |
