@misc{Dudek_Andrzej_The_2015,
 author={Dudek, Andrzej and Jefmański, Bartłomiej},
 identifier={DOI: 10.15611/ie.2015.1.02},
 year={2015},
 rights={Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy},
 publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu},
 description={Informatyka Ekonomiczna = Business Informatics, 2015, Nr 1 (35), s. 19-27},
 language={eng},
 abstract={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 possible},
 title={The fuzzy TOPSIS method and its implementation in the R programme},
 type={artykuł},
 keywords={linear ordering, fuzzy TOPSIS, fuzzy number, linguistic variable, R programme, porządkowanie liniowe, rozmyta metoda TOPSIS, liczby rozmyte, rozmyte wagi, modele IRT},
}