Implementing Complex Fuzzy Analysis for Business Planning Systems

Abstract

The chapter deals with implementing fuzzy logic for transition of descriptions in natural language to formal fuzzy and stochastic models and their further optimization in terms of effectiveness and efficiency of information modeling and prediction systems. The theoretical methods are implemented in lifelong learning business for developmentspecific virtual trainings for adult students.

Evaluating the Organizational Hierarchy Using the IFSAW and TOPSIS Techniques

“…Mikhailovich [17] used the fuzzy sets while solving the problem of factor causality. Dintsis [18] in his work dealt with the idea of implementing fuzzy logic for transforming descriptions of natural language to formal fuzzy and stochastic models. However, fuzzy sets lack in the idea of non -membership function.…”