Modeling global market entry decision by fuzzy logic with an application to country risk assessment

Article Abstract:

A fuzzy logic framework to model the main parameters of global market entry decisions was developed as an aid to global market entry decisions. Fuzzy logic is an appropriate method to account for interplaying factors such as unreliable data, imprecise measures, ambiguous language and uncertain environmental conditions. The fuzzy logic framework was tested in a case study that tried to assess specific country risks such as trade balance, foreign exchange rate, social risks and political risks.

Multiple criteria decision making, Fuzzy systems, Political risk

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A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm

Article Abstract:

Research is presented describing the development of a statistical evaluation model designed to use genetic algorithms to weight sales in a forecasting system.

Operations research, Management science, Computer networks, Product development, Neural networks, Fuzzy algorithms, Sales forecasting

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