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.show moreshow less

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Metadaten
Document Type:Article
Author:Dr.-Ing. Heinrich SöbkeORCiDGND, Andrea Lück
DOI (Cite-Link):https://doi.org/10.3390/asi503004Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20220524-46469Cite-Link
URL:https://www.mdpi.com/2571-5577/5/3/49
Parent Title (English):Applied System Innovation
Publisher:MDPI
Place of publication:Basel
Language:English
Date of Publication (online):2022/05/09
Date of first Publication:2022/05/09
Release Date:2022/05/24
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Bauhaus-Institut für zukunftsweisende Infrastruktursysteme
Volume:2022
Issue:Volume 5, issue 49, article 49
Pagenumber:21
First Page:1
Last Page:21
Tag:crowdsourcing; elementary interaction; multi-criteria decision analysis; platform; set of objectives
GND Keyword:Operations Research
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
BKL-Classification:06 Information und Dokumentation
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)