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Quick Decide: A Tool to Aid the Analytic Hierarchy Process for Group Decisions
Softwerk.
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0002-7565-3714
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0002-0835-823X
2015 (English)In: Perspectives in Business Informatics Research: 14th International Conference, BIR 2015, Tartu, Estonia, August 26-28, 2015, Proceedings / [ed] Raimundas Matulevičius, Marlon Dumas, Springer: Springer Publishing Company, 2015, Vol. 229, 179-193 p.Conference paper, Published paper (Refereed)
Abstract [en]

To take simple decisions comes naturally and does not re- quire additional considerations but when there are multiple alternatives and criteria to be considered, a decision-making technique is required. The most studied and developed technique is the Analytic Hierarchy Process (AHP). We focus on the practical implementation of AHP and study the set of features that are necessary when the process involves several experts together with a set of non-functional requirements, such as portability and usability. Since no existing tool satisfy all our require- ments, we design and implement a new AHP tool called Quick Decide. We perform a user experiment to evaluate our tool, and find that it fulfils all our requirements. To support our usability requirements, we extend AHP with an external consistency check, which measures the distance between expert opinions to avoid results that are mathematically correct but provide no semantic value (e.g., two opposite extreme opinions). 

Place, publisher, year, edition, pages
Springer: Springer Publishing Company, 2015. Vol. 229, 179-193 p.
Series
Lecture Notes in Business Information Processing, 229
Keyword [en]
Analytic Hierarchy Process, Group Decision Making, User Experiment, Application
National Category
Software Engineering
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-51767DOI: 10.1007/978-3-319-21915-8_12ISBN: 978-3-319-21914-1 (print)ISBN: 978-3-319-21915-8 (print)OAI: oai:DiVA.org:lnu-51767DiVA: diva2:915988
Conference
14th International Conference, BIR 2015, Tartu, Estonia, August 26-28, 2015
Available from: 2016-03-31 Created: 2016-03-31 Last updated: 2017-01-27Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
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