Sökning: "Komplexa system - mikrodataanalys"

Visar resultat 1 - 5 av 31 avhandlingar innehållade orden Komplexa system - mikrodataanalys.

  1. 1. A data-driven decision support system for coherency of experts’ judgment in complex classification problems : The case of food security as a UN sustainable development goal

    Författare :Rueben Laryea; Kenneth Carling; Lena Nerhagen; Högskolan Dalarna; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Coherence; Efficiency; Decision Support System; Multi-Criteria; Risk; Classification Model; Decision Makers; Judgment; Alternatives; Prediction; Data; Integrate; Imprecision; Food Security; UTADIS; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : Everyday humans need to make individual or collective decisions. Often the decisions aim at achieving multiple goals (thus involving multiple criteria) and rely on the decision maker(s)’ intuition, internal data, as well as external sources of data. LÄS MER

  3. 2. Developing decision support systems for last mile transportation problems

    Författare :Vijay Paidi; Johan Håkansson; Hasan Fleyeh; Roger G. Nyberg; Vitaly Komashilov; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; parking spaces; attended handovers; user satisfaction; pollution; business opportunities; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : Last mile transportation is the most problematic phase of transportation needing additional research and effort. Longer waits or search times, lack of navigational directions and real-time information are some of the common problems associated with last mile transportation. LÄS MER

  4. 3. The reinforcement learning method : A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities

    Författare :Ross May; Kenneth Carling; Mengjie Han; Pascal Rebreyend; Zoltan Nagy; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Markov decision processes; Reinforcement learning; Control; Building; Indoor comfort; Occupant; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : Over half of the world’s population lives in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. LÄS MER

  5. 4. Optimization heuristic solutions, how good can they be? : With empirical applications in location problems

    Författare :Xiangli Meng; Kenneth Carling; Christoph Flath; Högskolan Dalarna; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : Combinatorial optimization problems, are one of the most important types of problems in operational research. Heuristic and metaheuristics algorithms are widely applied to find a good solution. LÄS MER

  7. 5. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

    Författare :Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). LÄS MER