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Auflistung nach Schlagwort "Decision Support System"

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  • Konferenzbeitrag
    Früherkennung von Schwanzbeißen bei Schweinen auf der Basis von Deep Learning
    (41. GIL-Jahrestagung, Informations- und Kommunikationstechnologie in kritischen Zeiten, 2021) Wißkirchen, Peter; Warns, Friederike K.; Dahlhoff, Katharina; Goretzky, Carina; Brune, Timo; Bitti, Fouad; Mathis, Harald; van Asten, Astrid
    Schwanzbeißen (Caudophagie) bei Schweinen stellt ein schwerwiegendes und zugleich komplexes Problem in der landwirtschaftlichen Nutztierhaltung dar. Ziel des Projektvorhabens KISS (Künstliche Intelligenz gegen Schwanzbeißen bei Schweinen) ist die Konzeption und prototypische Entwicklung eines Decision Support Systems zur Analyse des Verhaltens einer Schweinegruppe, welches im Sinne eines Frühwarnsystems Hinweise auf verändertes Verhalten gibt. Zur automatischen Analyse bekannter Frühindikatoren dienen Verfahren des Deep Learning, deren Tragfähigkeit auch unter dem Aspekt praktikabler, kostengünstiger Lösung dargestellt wird.
  • Konferenzbeitrag
    How to Design User-Centered Decision Support Systems in Public Budgeting? Guidelines and a Web-Based Prototype With First Insights From a Mixed-Methods Study
    (Mensch und Computer 2022 - Tagungsband, 2022) Tasche, Niklas; Dhungel, Anna-Katharina; Heine, Moreen
    Due to increasing complexity and high political importance, public budgeting should be technically supported in the best way possible. In this paper, the use of a decision support prototype is explored to assist stakeholders in the context of public budgeting, to address the questions of what information is needed to facilitate decisions, and how to design and embed such a system. A user-centered approach was chosen, including a context analysis, qualitative interviews, and a shortened design sprint. From the insights gained, design implications as well as two hands-on application scenarios were derived. Based on this, a high-fidelity prototype was developed with modern web technologies. Afterwards, a summative evaluation was conducted in an interactive and cohesive online survey where participants could interact directly with the embedded prototype. The results show that the majority of participants expect such a system to have a positive impact on decision-making during budget preparations. Furthermore, most of the defined design requirements were fulfilled and the usability as well as the visual aesthetics of the prototype, were evaluated in a positive manner. The design implications provide a profound basis for further research and design iterations.
  • Konferenzbeitrag
    A mathematical model to quantitatively calculate the trade-offs between ESs within a DSS
    (41. GIL-Jahrestagung, Informations- und Kommunikationstechnologie in kritischen Zeiten, 2021) Hosseini-Yekani, Seyed-Ali; Zander, Hans-Werner
    Farmers tend to develop a production plan for their farm based on experience and expectations regarding costs, yields and revenues for their different production options. This is – especially in connection with livestock and/or biogas production systems – a complex decision problem that can be solved using mathematical programming approaches. Currently farmers are additionally expected to consider ecosystems services when optimising their production, some of which can be rewarded through various payment schemes. The study of the trade-off between ESs is an important issue that helps to optimize decisions about their use as well as their conservation. Despite the increase in the number of studies on ESs and the trade-off between them, the number of studies on how to quantitatively calculate and manage these trade-offs is still scarce. In the absence of a market to directly discover the value of ESs, economic valuation is a useful research and policy tool for determining the value and prioritization of ESs by assigning a monetary value for the services provided by them. But these methods usually value ESs separately and based on surveys of their consumers’ willingness to pay. The whole farm mathematical modelling approach within the project DAKIS (Digital Agricultural Knowledge and Information System) will allow for the determination of the shadow value of ESs simultaneously based on their society’s supply and demand and their impact on the farmer's income or cost. This conceptual paper, while introducing this feature in order to evaluate and prioritize the ESs more comprehensively and accurately, shows how it can be used to quantify the effect of changes in the society’s supply and demand of each ESs on the trade-offs between them.