IFMCDM: An R package for intuitionistic fuzzy multi-criteria decision making methods

被引:0
|
作者
Roszkowska, Ewa [1 ]
Jefmanski, Bart lomiej [2 ]
Dudek, Andrzej [2 ]
Kusterka-Jefma, Marta [3 ]
机构
[1] Bialystok Tech Univ, Fac Comp Sci, Wiejska 45A, PL-15351 Bialystok, Poland
[2] Wroclaw Univ Econ & Business, Dept Econometr & Comp Sci, PL-53345 Wroclaw, Poland
[3] Wroclaw Univ Econ & Business, Dept Enterprise Studies, PL-53345 Wroclaw, Poland
关键词
Uncertain data; Intuitionistic fuzzy decision making; Intuitionistic fuzzy TOPSIS; Intuitionistic Fuzzy Synthetic Measure; THE-ART SURVEY; SETS;
D O I
10.1016/j.softx.2024.101721
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Intuitionistic Fuzzy Multi-Criteria Decision Making methods provide a set of effective support tools that help the decision-maker deal with uncertainty in real-life complex decision-making problems. Therefore, we present IFMCDM, an open-source R package that enables evaluation and rank ordering alternatives represented in an intuitionistic fuzzy context. The IFMCDM package consists of two multi-criteria methods, Intuitionistic Fuzzy TOPSIS, and Intuitionistic Fuzzy Synthetic Measure, both based on reference points. Moreover, the R package offers two representations of reference points and two distance measures (Hamming and Euclidean) which allows four variants of each method. This enables decision-makers to be more flexible and comprehensively analyze real complex decision-making problems. Additionally, a useful function that converts raw data into an intuitionistic fuzzy representation has been included.
引用
收藏
页数:7
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