Pages that link to "Item:Q2215025"
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The following pages link to Learning fuzzy measures from data: simplifications and optimisation strategies (Q2215025):
Displaying 18 items.
- Applying fuzzy measures and nonlinear integrals in data mining (Q812587) (← links)
- \(k\)-maxitive fuzzy measures: a scalable approach to model interactions (Q1697559) (← links)
- Learning \(k\)-maxitive fuzzy measures from data by mixed integer programming (Q2048756) (← links)
- Knapsack problems with dependencies through non-additive measures and Choquet integral (Q2140163) (← links)
- On policy capturing with fuzzy measures (Q2485340) (← links)
- Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization (Q2509600) (← links)
- Robust fitting for the Sugeno integral with respect to general fuzzy measures (Q2660720) (← links)
- DC optimization for constructing discrete Sugeno integrals and learning nonadditive measures (Q5151517) (← links)
- Random generation of \(k\)-interactive capacities (Q6057910) (← links)
- Hierarchical data fusion processes involving the Möbius representation of capacities (Q6058031) (← links)
- Reduction of variables and constraints in fitting antibuoyant fuzzy measures to data using linear programming (Q6061469) (← links)
- Aggregation with dependencies: capacities and fuzzy integrals (Q6079437) (← links)
- An integrated approach to identify criteria interactions based on association rule and capacity in MCDA (Q6120608) (← links)
- Random generation of linearly constrained fuzzy measures and domain coverage performance evaluation (Q6197199) (← links)
- A supervised fuzzy measure learning algorithm for combining classifiers (Q6492551) (← links)
- On the polytope of 3-tolerant fuzzy measures (Q6536007) (← links)
- Efficient random walks for generating random fuzzy measures in Möbius representation in large universe (Q6623468) (← links)
- Efficient methods for verifying monotonicity of 2-additive fuzzy measures (Q6653932) (← links)
