Autor: Jefmański, Bartłomiej - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: THE RATING SCALE MODEL IN THE CONSTRUCTION OF FUZZY TOPSIS METHOD
Autorzy:: Jefmański, Bartłomiej
Powiązania:: https://bibliotekanauki.pl/articles/453920.pdf
Data publikacji:: 2014
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:: IRT models
rating scale model
TOPSIS
fuzzy number
Opis:: Fuzzy TOPSIS method enables linear ordering of objects characterized by linguistic variables, which values constitute expressions emerging from natural language. Crucial, however, often neglected phase of this method is a selection of the way of introducing linguistic expressions by fuzzy numbers. Therefore, in this article one suggested a modification of fuzzy TOPSIS method using Rating Scale Model (RSM) to establish triangular fuzzy numbers. A suggested method enables establishing the rank of objects on the basis of objective criteria and subjective weights expressed in the form of triangular fuzzy numbers. Usability of the suggested method was confirmed by an empirical example, concerning linear ordering of selected smartphones models.
Źródło:: Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 2; 112-124
2082-792X
Pojawia się w:: Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: The fuzzy TOPSIS method and its implementation in the R programme
Rozmyta metoda TOPSIS i jej implementacja w programie R
Autorzy:: Dudek, Andrzej
Jefmański, Bartłomiej
Powiązania:: https://bibliotekanauki.pl/articles/432378.pdf
Data publikacji:: 2015
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: linear ordering
fuzzy TOPSIS
fuzzy number
linguistic variable
R programme
Opis:: The TOPSIS method (Technique for Order Preference by Similarity Ideal Solu-tion) suggested by Hwang and Yoon [1981], belongs to the group of pattern linear ordering methods of multidimensional objects. A characteristic feature of this method is a way to evaluate a synthetic criterion’s values, which takes into consideration the distance of an evaluated object from a positive-ideal solution as well as from a negative-ideal solution. The fuzzy TOPSIS method enables the linear ordering of objects described through linguistic variables, whose values are expressed in the form of triangular fuzzy numbers. In this arti-cle, a way of synthetic measurement estimation in environment R was presented, according to the assumptions of the fuzzy TOPSIS method proposed by Chen [2000]. Scripts, which are included in the article make the accomplishment of this particular method’s stages pos-sible.
Źródło:: Informatyka Ekonomiczna; 2015, 1(35); 19-27
1507-3858
Pojawia się w:: Informatyka Ekonomiczna
Dostawca treści:: Biblioteka Nauki

Artykuł

Informacja