P
Paweł Ziemba
Researcher at University of Szczecin
Publications - 82
Citations - 1359
Paweł Ziemba is an academic researcher from University of Szczecin. The author has contributed to research in topics: Multiple-criteria decision analysis & Computer science. The author has an hindex of 17, co-authored 69 publications receiving 955 citations. Previous affiliations of Paweł Ziemba include Wrocław University of Technology & West Pomeranian University of Technology.
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Generalised framework for multi-criteria method selection
TL;DR: A methodological and practical framework for selecting suitable MCDA methods for a particular decision situation and consistency between the methods recommended with the proposed approach and those used by the experts in reference cases is indicated.
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NEAT F-PROMETHEE – A new fuzzy multiple criteria decision making method based on the adjustment of mapping trapezoidal fuzzy numbers
TL;DR: It has been found out that the correction mechanism and other improvements applied in NEAT F-PROMETHEE make it possible to obtain a higher computational accuracy what results in a higher credibility of the solution of a decision problem in comparison with many other Fuzzy PROMethEE implementations.
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Using the PROSA Method in Offshore Wind Farm Location Problems
TL;DR: In this article, the authors proposed a new multi-criteria method, called PROSA (PROMETHEE for Sustainability Assessment) method, to select offshore wind farm locations in Poland based on sustainability assessment, which is an inherent aspect of RES decision-making issues.
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Fuzzy multi-objective modeling of effectiveness and user experience in online advertising
Jarosław Jankowski,Przemysław Kazienko,Jarosław Wźtróbski,Anna Lewandowska,Paweł Ziemba,Magdalena Zioło +5 more
TL;DR: An intelligent decision support system providing balance between user experience and profits from online advertising based on the fuzzy multi-objective optimization model is presented in this paper and revealed that a growing level of persuasion can increase results only to a certain extent.
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Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints
TL;DR: This data article describes the analysis of 56 MCDA (Multi-Criteria Decision Analysis) methods in regards to 9 decision-making problem characteristics structured into 3 levels and creates an exemplary decision support system based on the presented data.