Софткомпютинг модели за финансово управление на предприятието
Soft computing models for financial management of the company

Author(s): Yuliyan Velkov, Georgi Kirov
Subject(s): Economy, Accounting - Business Administration, ICT Information and Communications Technologies
Published by: Международно висше бизнес училище
Keywords: soft computing; fuzzy logic; business economy; financial management; company
Summary/Abstract: Soft computing models for company financial management are intelligent platforms for supporting decision-making in an environment of uncertainty. The idea of their creation was formed in the context of the desire to study objects that do not have a precise value description; conceptually relates to Fuzzy Set Theory and its information processing capabilities under approximation conditions. The architecture of soft computing models for financial management based on fuzzy logic is designed from appropriately connected input variables, rules and output variable. In their operation, successive fuzzification of the input information, processing of the rules and defuzzification of the result are carried out. Thus, the accuracy and unambiguity of financial statement information is integrated with the subjectivity and individuality characteristic of human thinking. A computational algorithm is implemented with opportunities to use regardless of the complexity, uncertainty and context dependence of the selection criteria in the modern business economy. Among the advantages of soft computing models for financial management based on fuzzy logic are the ability to reproduce human thinking and intuition, high speed of work, high flexibility, efficiency.

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