his.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Absolute and relative preferences in AHP-like matrices
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Department of Mathematics, University of Dar es salaam, Tanzania. (Skövde Artificial Intelligence Lab (SAIL))
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))ORCID-id: 0000-0001-6245-5850
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))ORCID-id: 0000-0002-0368-8037
2018 (engelsk)Inngår i: Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018) / [ed] Jun Liu, Jie Lu, Yang Xu, Luis Martinez, Etienne E Kerre, SINGAPORE: World Scientific Publishing Co. Pte. Ltd. , 2018, Vol. 11, s. 260-267Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The Analytical Hierarchy Process (AHP) has been extensively used to interview experts in order to find the weights of the criteria. We call AHP-like matrices relative preferences of weights. In this paper we propose another type of matrix that we call a absolute preference matrix. They are also used to find weights, and we propose that they can be applied to find the weights of weighted means and also of the Choquet integral.

sted, utgiver, år, opplag, sider
SINGAPORE: World Scientific Publishing Co. Pte. Ltd. , 2018. Vol. 11, s. 260-267
Serie
World Scientific Proceedings Series on Computer Engineering and Information Science, ISSN 1793-7868 ; 11
HSV kategori
Forskningsprogram
INF301 Data Science; Skövde Artificial Intelligence Lab (SAIL)
Identifikatorer
URN: urn:nbn:se:his:diva-16409DOI: 10.1142/9789813273238_0035ISI: 000468160600035ISBN: 978-981-3273-22-1 (tryckt)ISBN: 978-981-3273-24-5 (digital)OAI: oai:DiVA.org:his-16409DiVA, id: diva2:1264038
Konferanse
Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), Belfast, United Kingdom, August 21-24, 2018
Tilgjengelig fra: 2018-11-19 Laget: 2018-11-19 Sist oppdatert: 2019-06-07bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Personposter BETA

Koloseni, DavidHelldin, ToveTorra, Vicenç

Søk i DiVA

Av forfatter/redaktør
Koloseni, DavidHelldin, ToveTorra, Vicenç
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 270 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf