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Rita A. Ribeiro

Researcher at University of Lisbon

Publications -  217
Citations -  11312

Rita A. Ribeiro is an academic researcher from University of Lisbon. The author has contributed to research in topics: Decision support system & Fuzzy logic. The author has an hindex of 28, co-authored 204 publications receiving 9438 citations. Previous affiliations of Rita A. Ribeiro include Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa & University of Geneva.

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The Gaia mission

T. Prusti, +624 more
TL;DR: Gaia as discussed by the authors is a cornerstone mission in the science programme of the European Space Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach.
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Gaia Data Release 1 Summary of the astrometric, photometric, and survey properties

Anthony G. A. Brown, +590 more
TL;DR: The first Gaia data release, Gaia DR1 as discussed by the authors, consists of three components: a primary astrometric data set which contains the positions, parallaxes, and mean proper motions for about 2 million of the brightest stars in common with the Hipparcos and Tycho-2 catalogues.
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Fuzzy multiple attribute decision making: a review and new preference elicitation techniques

TL;DR: New elicitation techniques to determine attributes importance are proposed, which range from statistical to scaling methods based on linguistic variables, to enable a more versatile elicitation procedure as well as providing crisp preferences.
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Occupational risk assessment in construction industry – Overview and reflection

TL;DR: This paper presents a state-of-the-art on ORA traditional methods, for the construction industry, discussing their limitations and pointing advantages of using fuzzy sets approaches to deal with ill-defined situations.
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A framework for dynamic multiple-criteria decision making

TL;DR: A flexible framework for dynamic MCDM, based on the classic model, is introduced that can be applied to any dynamic decision process and illustrated by means of a small helicopter landing example to highlight its versatility.