Abstract
Sustainable development is the most important challenge in recent years, and it is extremely important to save the environment, safety and well-being of lives now and future generations. In this regard, the role of environmental regulation methods aiming at the use of innovation-based green technologies is increasing. The modern regulation principles incentivize the implementation of best available techniques. Evaluating best available techniques is a difficult problem and requires taking into account numerous criteria. The application of optimization models offers an objectively based basis for reasonable decisions making. Hence, the design of new effective methods for determination of the best available techniques is an actual research direction. The problem of BAT estimation includes a variety of parameters whose values cannot be defined exactly, which defines their representation in terms of the theory of fuzzy sets. The present paper is devoted to the use of the fuzzy-based methods for the best available techniques selection process. The proposed methods are an extension of the information-mathematical toolbox for the solution of the selection problem of the best available techniques.