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£125.00
Springer Discrete Fuzzy Measures: Computational Aspects 382
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Description
Key Features
Designed for professionals including mathematicians, IT specialists, and knowledge engineers working in multicriteria decision making.
Explains how to use fuzzy measures, or capacities, to combine degrees of preference and fuzzy memberships into one value.
Provides methods to account for input interactions, allowing for more accurate modeling of complex data sets.
Models mutual reinforcement and redundancy through the explicit use of fuzzy measure coefficients.
Covers essential fuzzy integrals such as the Choquet and Sugeno integrals for combining inputs effectively.
Part of the Studies in Fuzziness and Soft Computing series, volume 382, published by Springer.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3030153045
- Domain
- Amazon UK
- Release Date
- 27 March 2019
- Listed Since
- 08 February 2019
Barcode
No barcode data available
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