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.
No takes yet. Share an insight, caveat, or question.
Roszkowska et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: