pyFDM: A Python']Python library for uncertainty decision analysis methods

Decision-making is an integral part of life. Many situations require us to make rational choices among numerous decision options. In addition, real-world problems are characterized by uncertainties that hinder the entire process. Multi-Criteria Decision Analysis (MCDA) comes with help. Many evaluation techniques have been developed along with fuzzy logic assumptions, classified as fuzzy MCDA tools. These methods allow efficient and effective evaluation of decision variants in an uncertain environ-ment. Existing tools facilitate the work of these methods, but they are limited or not updated with newly established technologies. Therefore, this article proposes the pyFDM (Python Fuzzy Decision Making): a new Python 3 software library to facilitate calculations using methods that operate on uncertain data. In addition to evaluation methods, various techniques for normalization, defuzzification, distance measure, or objective criteria weighting are also included. It provides a comprehensive set of tools for using available techniques to perform calculations in this field. The operation of the proposed library is demonstrated through two practical examples. The first is directed to selecting the most appropriate stock, while the second is devoted to the ERP system selection firms. The presented examples show that the implemented library can be effectively used for fuzzy decision-making problems based on Triangular Fuzzy Numbers. The modular structure allows the interchangeable use of available methods, making the tool a comprehensive environment for calculations in this area.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).