The article studies a topical issue of development of methods of modelling marketing activity on software sales for achievement of efficient functioning of an enterprise. On the basis of analysis of the market type for the studied CloudLinux OS product, the article identifies the market...

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...

The decision of whether to buy, hold or sell equities depends on whether the current price reflects the stock’s intrinsic or fundamental value. The residual income valuation model expresses this fundamental value as a function of current book value of equity plus the sum of discounted expected...

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...

Supervision systems aim to provide operators with help to interpret the actual behaviour of the process in order that they can watch it over more efficiently. They are not conceived so as to replace completely the humans in charge of the plant, but rather to detect early abnormal situations and...

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...

International plant location decisions have acquired relevance in a globalised economy and evidence suggests that the overall production and logistics environment of a country would have a bearing on foreign direct investment (FDI). This study attempts to analyse the impact of the production and...

This article presents how genetic algorithm (GA) can be efficiently used to fuzzy goal programming (FGP) formulation of quadratic bilevel programming problems (QBLPPs) in a hierarchical decision system. In the proposed approach, the concept of tolerance membership functions in fuzzy sets for...