Measuring Structural Dissimilarity Between Finite Partial Orders
Marco Fattore (),
Rosanna Grassi and
Alberto Arcagni
Additional contact information
Marco Fattore: University of Milano-Bicocca, Department of Statistics and Quantitative Methods
Rosanna Grassi: University of Milano-Bicocca, Department of Statistics and Quantitative Methods
Alberto Arcagni: University of Milano-Bicocca, Department of Statistics and Quantitative Methods
Chapter Chapter 4 in Multi-indicator Systems and Modelling in Partial Order, 2014, pp 69-84 from Springer
Abstract:
Abstract In this paper, we address the problem of measuring structural dissimilarity between two partial orders with n elements. We propose a structural dissimilarity measure, based on the distance between isomorphism classes of partial orders, and propose an interpretation in terms of graph theory. We give examples of structural dissimilarity computations, using a simulated annealing algorithm for numerical optimization.
Keywords: Equivalence Class; Partial Order; Linear Order; Isomorphism Class; Simulated Annealing Algorithm (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-8223-9_4
Ordering information: This item can be ordered from
http://www.springer.com/9781461482239
DOI: 10.1007/978-1-4614-8223-9_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().