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Component Selection with Fuzzy Decision Making
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2018 (English)In: Procedia Computer Science, Elsevier B.V. , 2018, Vol. 126, p. 1378-1386Conference paper, Published paper (Refereed)
Abstract [en]

In many situations a decision maker (DM) would like to grade a component, or rank several components of the same type. Often a component type has many features, which are deemed as valuable by the DM. Other vital features are not known by the DM but are needed for the component to function. However, it should be possible to guide the DM to find the desired business solution, without putting a requirement of detailed knowledge of the component type on the DM. We propose a framework for component selection with the help of fuzzy decision making. The work is based on algorithms from fuzzy decision making, which we have adapted or extended. The framework was validated by practitioners, which found the framework useful. © 2018 The Author(s).

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. Vol. 126, p. 1378-1386
Series
Procedia Computer Science, ISSN 1877-0509
Keywords [en]
component selection, fuzzy decision making, max-prod composition, minimization of regret, Knowledge based systems, Business solutions, Decision makers, Max-prod compositions, Decision making
National Category
Computer Sciences Software Engineering
Identifiers
URN: urn:nbn:se:bth-17357DOI: 10.1016/j.procS.2018.08.089Scopus ID: 2-s2.0-85056626463OAI: oai:DiVA.org:bth-17357DiVA, id: diva2:1266877
Conference
22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018, 3 September 2018 through 5 September 2018
Note

open access

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

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Silvander, Johan

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12345673 of 28
CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf