Pareto efficiency and Skyline operator

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Pareto efficiency and Skyline operator

Pareto efficiency vs. Skyline operator

Pareto efficiency or Pareto optimality is a state of allocation of resources from which it is impossible to reallocate so as to make any one individual or preference criterion better off without making at least one individual or preference criterion worse off. The Skyline operator is an optimization problem used in a query to filter results from a database to keep only those objects that are not worse than any other.

Similarities between Pareto efficiency and Skyline operator

Pareto efficiency and Skyline operator have 1 thing in common (in Unionpedia): Multi-objective optimization.

Multi-objective optimization

Multi-objective optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, multiattribute optimization or Pareto optimization) is an area of multiple criteria decision making, that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.

Multi-objective optimization and Pareto efficiency · Multi-objective optimization and Skyline operator · See more »

The list above answers the following questions

What Pareto efficiency and Skyline operator have in common
What are the similarities between Pareto efficiency and Skyline operator

Pareto efficiency and Skyline operator Comparison

Pareto efficiency has 62 relations, while Skyline operator has 9. As they have in common 1, the Jaccard index is 1.41% = 1 / (62 + 9).

References

This article shows the relationship between Pareto efficiency and Skyline operator. To access each article from which the information was extracted, please visit:

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