Determining an Estimate of an Equivalence Relation for Moderate and Large Sized Sets

• Autorzy: Leszek Klukowski
• Języki publikacji: EN

Abstrakty

EN

This paper presents two approaches to determining estimates of an equivalence relation on the basis of pairwise comparisons with random errors. Obtaining such an estimate requires the solution of a discrete programming problem which minimizes the sum of the differences between the form of the relation and the comparisons. The problem is NP hard and can be solved with the use of exact algorithms for sets of moderate size, i.e. about 50 elements. In the case of larger sets, i.e. at least 200 comparisons for each element, it is necessary to apply heuristic algorithms. The paper presents results (a statistical preprocessing), which enable us to determine the optimal or a near-optimal solution with acceptable computational cost. They include: the development of a statistical procedure producing comparisons with low probabilities of errors and a heuristic algorithm based on such comparisons. The proposed approach guarantees the applicability of such estimators for any size of set. (original abstract)

Słowa kluczowe

PL

Estymatory; Algorytmy; Programowanie matematyczne

EN

Estimators; Algorithms; Mathematical programming

• Czasopismo: Operations Research and Decisions
• Rocznik: 2017
• Tom: 27
• Numer: nr 2
• Strony: 45-58

Twórcy

autor

Leszek Klukowski

• Polish Academy of Sciences

Bibliografia

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Identyfikatory

DOI

10.5277/ord170203