Many practical optimization problems are characterized by some flexibility in the problem constraints, where this flexibility can be exploited for additional trade-off between improving the objective function and satisfying the constraints. Especially in decision making, this type of flexibility...

In this study we show that investor sentiment plays a key role in explaining trading intensity and market trend changes. Based on both econometric and fuzzy logic approaches, the empirical findings demonstrate that pessimistic sentiment has a particularly significant impact on the French...

This paper presents a fuzzy rough semi-supervised outlier detection (FRSSOD) approach with the help of some labeled samples and fuzzy rough C-means clustering. This method introduces an objective function, which minimizes the sum squared error of clustering results and the deviation from known...

The highly diversified conceptual and algorithmic landscape of Granular Computing calls for the formation of sound fundamentals of the discipline, which cut across the diversity of formal frameworks (fuzzy sets, sets, rough sets) in which information granules are formed and processed. The study...

Today, Fuzzy sets and fuzzy logic are used in many applications areas such as control, instrumentation, resource management, and databases just to name a few. In this paper, the authors present an extension of fuzzy aggregate functions in the context of fuzzy databases. The paper is not intended...

An inefficient generation and distribution infrastructure is a serious problem for the national power system of Ukraine. This situation makes it necessary to propose a radical new approach for developing a strategy to meet the demand for dispatchable power generation. Proposed options include:...