Das Suchergebnis hat sich seit Ihrer Suchanfrage verändert. Eventuell werden Dokumente in anderer Reihenfolge angezeigt.
  • Treffer 40 von 100
Zurück zur Trefferliste

Framing Algorithm-Driven Development of Sets of Objectives Using Elementary Interactions

  • Multi-criteria decision analysis (MCDA) is an established methodology to support the decision-making of multi-objective problems. For conducting an MCDA, in most cases, a set of objectives (SOO) is required, which consists of a hierarchical structure comprised of objectives, criteria, and indicators. The development of an SOO is usually based on moderated development processes requiring highMulti-criteria decision analysis (MCDA) is an established methodology to support the decision-making of multi-objective problems. For conducting an MCDA, in most cases, a set of objectives (SOO) is required, which consists of a hierarchical structure comprised of objectives, criteria, and indicators. The development of an SOO is usually based on moderated development processes requiring high organizational and cognitive effort from all stakeholders involved. This article proposes elementary interactions as a key paradigm of an algorithm-driven development process for an SOO that requires little moderation efforts. Elementary interactions are self-contained information requests that may be answered with little cognitive effort. The pairwise comparison of elements in the well-known analytical hierarchical process (AHP) is an example of an elementary interaction. Each elementary interaction in the development process presented contributes to the stepwise development of an SOO. Based on the hypothesis that an SOO may be developed exclusively using elementary interactions (EIs), a concept for a multi-user platform is proposed. Essential components of the platform are a Model Aggregator, an Elementary Interaction Stream Generator, a Participant Manager, and a Discussion Forum. While the latter component serves the professional exchange of the participants, the first three components are intended to be automatable by algorithms. The platform concept proposed has been evaluated partly in an explorative validation study demonstrating the general functionality of the algorithms outlined. In summary, the platform concept suggested demonstrates the potential to ease SOO development processes as the platform concept does not restrict the application domain; it is intended to work with little administration moderation efforts, and it supports the further development of an existing SOO in the event of changes in external conditions. The algorithm-driven development of SOOs proposed in this article may ease the development of MCDA applications and, thus, may have a positive effect on the spread of MCDA applications.zeige mehrzeige weniger

Volltext Dateien herunterladen

  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

Metadaten exportieren

Metadaten
Dokumentart:Artikel (Wissenschaftlicher)
Verfasserangaben:Dr.-Ing. Heinrich SöbkeORCiDGND, Dipl.-Wirtsch.-Ing. Andrea Lück
DOI (Zitierlink):https://doi.org/10.3390/asi5030049Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20220713-46624Zitierlink
URL:https://www.mdpi.com/2571-5577/5/3/49
Titel des übergeordneten Werkes (Englisch):Applied System Innovation
Verlag:MDPI
Verlagsort:Basel
Sprache:Englisch
Datum der Veröffentlichung (online):09.06.2022
Datum der Erstveröffentlichung:09.06.2022
Datum der Freischaltung:13.07.2022
Veröffentlichende Institution:Bauhaus-Universität Weimar
Institute und Partnereinrichtugen:Fakultät Bauingenieurwesen / Bauhaus-Institut für zukunftsweisende Infrastruktursysteme (b.is)
Jahrgang:2022
Ausgabe / Heft:Volume 5, issue 3, article 49
Seitenzahl:20
Erste Seite:1
Letzte Seite:20
Freies Schlagwort / Tag:OA-Publikationsfonds2022
crowdsourcing; elementary interaction; multi-criteria decision analysis;; platform; set of objectives
GND-Schlagwort:Multikriteria-Entscheidung; Multikriterielle Entscheidungsanalyse
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke
BKL-Klassifikation:85 Betriebswirtschaft
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2022
Lizenz (Deutsch):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)