Please use this identifier to cite or link to this item:
http://cris.utm.md/handle/5014/780
DC Field | Value | Language |
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dc.contributor.author | BOLUN, Ion | en_US |
dc.date.accessioned | 2021-07-03T20:03:10Z | - |
dc.date.available | 2021-07-03T20:03:10Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | BOLUN, Ion. Total favoring in proportional apportionments. In: Journal of Engineering Sciences. 2021, nr. 1, pp. 47-60. ISSN 2587-3474.10.52326/jes.utm.2021.28(1).04 | en_US |
dc.identifier.issn | 2587-3474 | - |
dc.identifier.issn | 2587-3482 | - |
dc.identifier.uri | http://cris.utm.md/handle/5014/780 | - |
dc.description.abstract | The notion of “total favoring” of large or of small beneficiaries in proportional apportionments of entities is defined as a particular case of favoring. It is proven that the number of known conditions of total favoring of beneficiaries in an apportionment (APP) can be considerably reduced. Thus, the volume of calculations to be performed for the respective computer simulation was reduced. In order to quantitatively estimate the total favoring of beneficiaries by APP methods, three indicators were used: the percentage of apportionments, in which large beneficiaries are totally favored; the percentage of apportionments, in which small beneficiaries are totally favored; the percentage of total favoring of large or of small beneficiaries, depending on the APP method applied. A total of five APP methods are being researched: Hamilton (Hare), Sainte-Laguë (Webster), d’Hondt (Jefferson), Huntington-Hill and Adapted Sainte-Laguë. Based on results of computer simulation, the total favoring of beneficiaries by these five APP methods was estimated, including comparatively. For example, it has been identified that the d’Hondt method does not always totally favors beneficiaries to a greater extent than the Huntington-Hill method. At the same time, the Adapted Sainte-Laguë method always totally favors small beneficiaries less compared to the Huntington-Hill method. | en_US |
dc.language.iso | en | en_US |
dc.relation | 20.80009.5007.26. Modele, algoritmi şi tehnologii de conducere, optimizare şi securizare a sistemelor Ciber- Fizice | en_US |
dc.relation.ispartof | Journal of Engineering Science | en_US |
dc.subject | apportionment method | en_US |
dc.subject | apportionment problem | en_US |
dc.subject | comparative analysis | en_US |
dc.subject | computer simulation | en_US |
dc.subject | favoring of beneficiaries | en_US |
dc.subject | quantitative estimate | en_US |
dc.title | Total favoring in proportional apportionments | en_US |
dc.title.alternative | Favorizarea totală în repartizări proporționale | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.52326/jes.utm.2021.28(1).04 | - |
item.grantfulltext | open | - |
item.languageiso639-1 | other | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Department of Software Engineering and Automatics | - |
crisitem.author.parentorg | Faculty of Computers, Informatics and Microelectronics | - |
crisitem.project.grantno | 20.80009.5007.26 | - |
crisitem.project.fundingProgram | State Programme | - |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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JES-1-2021_47-60.pdf | 964.08 kB | Adobe PDF | View/Open |
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