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Fuzzy decision-making model with qualitative states and fuzzified outcomes
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2018 (English)In: Proceedia Computer Science: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference, KES-2018 / [ed] Robert J. Howlett, Carlos Toro, Yulia Hicks, Lakhmi C. Jain, Elsevier, 2018, Vol. 126, p. 2030-2039, article id k18is-162Conference paper, Published paper (Refereed)
Abstract [en]

The classical fuzzy decision-making model is now tested for qualitative compound states-symptoms to select the most efficacious medicine, acting on all symptoms. Instead of terminating the decision procedure in the way comparing values of total utilities of decisions-treatments, we test the aggregated utility values in utility levels. This activity lets us assign a verbally verified utility to each medicine.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 126, p. 2030-2039, article id k18is-162
Series
Proceedia Computer Science, ISSN 1877-0509 ; 126
Keywords [en]
fuzzy decision-making, utility matrix, qualitative states, total utilities, parametric s-functions, fuzzy utility levels
National Category
Other Mathematics
Identifiers
URN: urn:nbn:se:bth-17007DOI: 10.1016/j.procs.2018.07.249OAI: oai:DiVA.org:bth-17007DiVA, id: diva2:1248089
Conference
KES 2018, Belgrade, Serbia
Note

open access

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2018-11-29Bibliographically approved

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KES 2018(638 kB)34 downloads
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Rakus-Andersson, Elisabeth

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Citation style
  • apa
  • harvard1
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  • de-DE
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