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

Abstract

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.

Keywords

• Uncertain data
• Intuitionistic fuzzy decision making
• Intuitionistic fuzzy TOPSIS
• Intuitionistic Fuzzy Synthetic Measure