Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Trudel, Bryan" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Complementarity of the graphical analysis for interactive aid and dominance-based rough set approach applied to the classification of non-urban municipalities
Autorzy:
Boudreau-Trudel, Bryan
Zaras, Kazimierz
Powiązania:
https://bibliotekanauki.pl/articles/2027760.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Dominance-based rough set approach
Graphical analysis for interactive aid
Management decision support
Multi-criteria analysis
Opis:
Graphical analysis for interactive aid (GAIA) and the dominance-based rough set approach (DRSA) are compared as methods of explaining the solution to a multi-criteria ranking problem obtained using the preference ranking organization method for the enrichment of evaluations (PROMETHEE). The classification of 52 municipalities in Northern Quebec in terms of the socioeconomic situation is based on three attributes: home conditions, employment and demographic potential. The classification provided to the decision maker is aggregated information. To facilitate decision-making, the problem is first considered as a sorting task, in which municipalities are distributed into three categories: best (B), worst (W) or intermediate (I), based on the PROMETHEE ranking. In order to improve the position of a municipality thus categorized, the decision maker needs information that will answer the questions: What criteria are relevant to the municipality? What criteria are in conflict? What are the critical values of the criteria? We show that GAIA and DRSA provide convergent and complementary information that allow enrichment of the answers to these questions.
Źródło:
Multiple Criteria Decision Making; 2020, 15; 79-92
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identifying Strategic Development Objectives for European Union States Using the Dominance-Based Rough Set Approach: The Case of Poland
Autorzy:
Zaras, Kazimierz
Marin, Jean-Charles
Trudel, Bryan
Powiązania:
https://bibliotekanauki.pl/articles/578598.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Analiza wielokryterialna
Cele strategiczne
Rozwój ekonomiczny
Unia Europejska
Economic growth
European Union
Multicriteria analysis
Strategic objectives
Opis:
The use of the dominance-based rough set approach (DRSA) to help identify and prioritize strategic political, economic, sociological and technological (PEST) objectives for European Union (EU) countries is presented. The countries are first grouped into three categories: [A] those that are doing well according to the selected indicators; [B] those that need support to acquire category A status; [C] those ranked the lowest and needing special support with regard to the criteria considered. The categories correspond to tertiles within the average ranking of all EU countries. DRSA then provides decision rules based on PEST needs in order to improve the development and classification of the country. We conclude that by using this methodology, the EU could identify the strategic objectives to be given priority in order to stimulate its economic development or to improve the economic and sociological status of any country in the union. The case of Poland, a category C country from an economic perspective, is of particular interest.
Źródło:
Multiple Criteria Decision Making; 2019, 14; 144-156
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies