Abstract

In a competitive environment, most products usually have different stages of life cycle by different sales; thus, satisfying consumers' requirements could make the product competitive. From the experiences of experts, the analytic hierarchy process has been used to analyze the expected range for a specified PLC stage to enable a decision-maker to derive proper marketing strategies. However, in decision theory, the belfavior of a decision-maker is always affected by her risk perception and risk propensity to result in different decision-making. In order to cope with this problem, a fuzzy forecasting system to the risk perception and risk propensity is derived to extrapolate the Internet users for a specified PLC stage because of uncertainty and unknown system structure in the future.

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