Search for dissertations about: "Decision System"

Showing result 1 - 5 of 1277 swedish dissertations containing the words Decision System.

  1. 1. Designing Human-Centered Hybrid Decision Support Systems

    Author : Lu Cao; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Decision support system; Decision making; Decision-making; Hybrid system; Human–machine hybrid; Human-centered; Human-centered AI; Design science research; Action design research; Design principle; Multi-grounded theory;

    Abstract : Innovative decision support systems (DSSs) are revolutionizing key processes in organizations. These systems are used in managerial decision-making to solve increasingly complicated decision tasks, for example, using artificial intelligence. READ MORE

  2. 2. Pipe failure assessment and decision support system for a smart operation and maintenance : A comprehensive literature review and a conceptual decision analysis model proposal

    Author : Roya Meydani; John Leander; Andreas Lindhe; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Urban pipeline systems’ rehabilitation; Infrastructure management; Decision-modeling; Decision analysis; Problem structuring; Uncertainty; Bayesian decision theory; Utility-based decision-making.; Urbana ledningssystemsunderhåll; Infrastruktur förvaltning; Beslutsmod- ellering; Beslutsanalys; Problembeskrivning; Osäkerhet; Bayesiansk beslutsteori; Nyttobaserad beslutsmodell; Bro- och stålbyggnad; Structural Engineering and Bridges;

    Abstract : The reported research provides a rough guide to the best practice of decision modeling concerning urban pipeline systems’ rehabilitation. The thesis aims to bring attention to the fact that a proper decision-making model is a cornerstone for efficient infrastructure management. READ MORE

  3. 3. On a learning system for industrial automation : Model-based control and diagnostics for decision support

    Author : Moksadur Rahman; Konstantinos Kyprianidis; Anders Avelin; Gunnar Bengtsson; John Hedengren; Mälardalens högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning system; Supervisory system; Pulp and paper; Micro gas turbine; Process modelling; Model-based control; Diagnostics; Decision support; Anomaly detection; Fault detection; Energy- and Environmental Engineering; energi- och miljöteknik;

    Abstract : Access to energy is fundamental to economic and technological advancement. Hence, the more the world develops, the greater the demand for energy becomes. Evidently, the production and consumption of energy alone account for more than 80% of global anthropogenic greenhouse gas (GHG) emissions. READ MORE

  4. 4. Risk, Risk Analysis and Decision-making with Reference to Biostatistics and the Field of Medicine

    Author : Per Näsman; Lars-Göran Mattsson; Stephan Ogenstad; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; risk analysis; risk; consequence; system; biostatistics; decision; decision-making; health care; medicine; Medical engineering; Medicinsk teknik;

    Abstract : Risk, risk analysis and decision-making are essential aspects of health care andmedicine, for patients as well as for physicians and for society as a whole, andthe concept of risk and risk analysis in decision-making has a long history. Theword risk has many different interpretations and has no commonly accepteddefinition. READ MORE

  5. 5. Towards a learning system for process and energy industry : Enabling optimal control, diagnostics and decision support

    Author : Moksadur Rahman; Konstantinos Kyprianidis; Anders Avelin; Bengtsson Gunnar; Agostino Gambarotta; Mälardalens högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning system; Supervisory system; Pulp and paper; Micro gas turbine; Process modelling; Model-based control; Diagnostics; Decision support; Anomaly detection; Fault detection; Energy- and Environmental Engineering; energi- och miljöteknik;

    Abstract : Driven by intense competition, increasing operational cost and strict environmental regulations, the modern process and energy industry needs to find the best possible way to adapt to maintain profitability. Optimization of control and operation of the industrial systems is essential to satisfy the contradicting objectives of improving product quality and process efficiency while reducing production cost and plant downtime. READ MORE