Informacja

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

Wyszukujesz frazę "fuzzy TOPSIS" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Fuzzy TOPSIS Method for Group Decision Making
Autorzy:
Kacprzak, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/578590.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Liczby rozmyte
Metoda TOPSIS
Podejmowanie decyzji grupowych
Fuzzy numbers
Group decision making
TOPSIS method
Opis:
Multiple Criteria Decision Making methods have become very popular in recent years and are frequently applied in many real-life situations. The increasing complexity of the decision problems analysed makes it less feasible to consider all the relevant aspects of the problems by a single decision maker. As a result, many real-life problems are discussed by a group of decision makers. The aim of the paper is to present a new approach for ranking of alternatives with fuzzy data for group decision making using the TOPSIS method. In the proposed approach, all individual decision information of decision makers is taken into account in determining the ranking of alternatives and selecting the best one. The key stage of this method is the transformation of the decision matrices provided by the decision makers into matrices of alternatives. A matrix corresponding to an alternative is composed of its assessments with respect to all criteria, performed by all the decision makers. A numerical example illustrates the proposed approach.
Źródło:
Multiple Criteria Decision Making; 2018, 13; 116-132
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new multicriteria decision support tool based on fuzzy SWARA and TOPSIS
Autorzy:
Brahmi, Hichem
Moalla, Taicir Loukil
Powiązania:
https://bibliotekanauki.pl/articles/2028005.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
3PL suppliers
Fuzzy SWARA
Multicriteria decision support
TOPSIS
Opis:
The problem of selecting 3PL (Third Party Logistics) suppliers is a major issue in the management of the supply chain and the improvement of the production management of a manufacturing company. A 3PL supplier can be defined as a company that provides contract logistics services to a manufacturer, supplier or main user of a product or service. It is called a third party because the logistics provider does not own the products but participates in the supply chain between the manufacturer and the user of a given product. In actual cases, several decision-makers intervene in the selection of 3PL suppliers and each one has his own points of view and wishes to take into account criteria which are not generally the same for all the decision-makers. Furthermore, the criteria have different weights. In this study, we propose a method to solve this problem. It consists of a combination of the fuzzy Stepwise Weight Assessment Ratio Analysis (SWARA) method with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The objective is to optimize the decision-making process and have another, more dynamic model and satisfy the needs of the decision-maker. Fuzzy SWARA is one of the new methods being used for ranking evaluation criteria based on decision makers’ expected degree of importance to determine the weights of evaluation criteria (Selçuk, 2019). This method can be used to facilitate estimation of decision makers’ preferences regarding the meaning of attributes in the weight determination process. TOPSIS is a multi-criteria method for identifying solutions from a finite set of alternatives (Behzadian et al., 2012). To the best of our knowledge, this combination has not been developed in the literature, especially in the third-party logistic problems. The proposed model will be implemented to solve a 3PL problem of a company selling steel products.
Źródło:
Multiple Criteria Decision Making; 2021, 16; 5-22
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