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• Explainability With Observation Sharing in Long Collaboration Chains of Automated Systems-of-Systems 

  Daubaris, Paulius; Linkola, Simo; Inglés-Romero, Juan F.; Berrocal, Javier; Vicente-Chicote, Cristina; Murillo, Juan Manuel; Mikkonen, Tommi; Mäkitalo, Niko (Institute of Electrical and Electronics Engineers (IEEE), 2024)

  Robotics enabled by AI and advanced software technologies are taking the world by storm. The advanced automation systems, systems-of-systems that power them, and their collaboration are complex and difficult to understand. ...

• Tietojärjestelmäprojektin käynnistysvaiheen epävarmuustekijät 

  Vuorenpää, Tuomo (2020)

  Tietojärjestelmäprojektien käynnistysvaiheeseen sisältyy paljon epävarmuutta. Projektinhallinnan menetelmät sen sijaan tyypillisesti lähtevät siitä oletuksesta, että projektin kulku pystytään ennustamaan jo suunnitteluvaiheessa ...

• Let decision-makers direct the search for robust solutions : An interactive framework for multiobjective robust optimization under deep uncertainty 

  Shavazipour, Babooshka; Kwakkel, Jan, H.; Miettinen, Kaisa (Elsevier, 2025)

  The robust decision-making framework (RDM) has been extended to consider multiple objective functions and scenarios. However, the practical applications of these extensions are mostly limited to academic case studies. The ...

• Decision making in multiobjective optimization problems under uncertainty : balancing between robustness and quality 

  Zhou-Kangas, Yue; Miettinen, Kaisa (Springer, 2019)

  As an emerging research field, multiobjective robust optimization employs minmax robustness as the most commonly used concept. Light robustness is a concept in which a parameter, tolerable degradations, can be used to ...

• Multi-scenario multi-objective robust optimization under deep uncertainty : A posteriori approach 

  Shavazipour, Babooshka; Kwakkel, Jan H.; Miettinen, Kaisa (Elsevier BV, 2021)

  This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an alternative way for scenario discovery and identifying vulnerable scenarios even before any solution ...