Ordinal Structure Fuzzy Logic Predictor for Consumer Behaviour
In this paper, an intelligent predictor model for forecasting the behaviour of buyers in the product they would be interested to purchase using best customers and biggest customer index as inputs to the predictor. The model is based on fuzzy logic and Ordinal Structure Fuzzy Logic (OSFL). These intelligent models are developed based on the market survey data of the U.S. Bureau of Labour Statistics (BLS) data. The market survey data are sets of consumers categorized in various demographics their spending on the products. The association factors among the products and the consumer’s spending habits are determined using indexes as proposed by New Strategist in order to develop the Fuzzy predictor model. A software is developed to simulate he predictor based on the demographics. The software outputs a list of products based on probability priorities. The result of simulations of the software is compared with the BLA data and found to be quite accurate.
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- 1.Best Customers, Demographics of Consumer Demand, 4th edn. New Strategist Publications, Inc., Ithaca, New York (2006) Google Scholar
- 2.U.S. Bureau of Labour Statistics (BLS) Consumer Price Index (CPI) Google Scholar
- 4.Ohnishi, T.: Fuzzy Reasoning by Ordinal Structure Model of Control Rule. Journal of Japan Society for Fuzzy Theory and Systems 2(4), 125–132 (1990)Google Scholar
- 5.Naitoh, Y., Furuhashi, T., Uchikawa, Y.: A Variable Ordinal Structure Model for Fuzzy Reasoning and Its Application to Decision Problem Working Order. In: International Conference on Industrial Electronic, Control and Instrumentation, vol. 2, pp. 1539–1543 (1991)Google Scholar
- 6.Tan, K.K., Khalid, M., Yusof, R.: Intelligent Elevator Control by Ordinal Structure Fuzzy Logic Algorithm. In: Proc. of ICARCV 1997, Singapore (1997)Google Scholar
- 7.Sano and Kawabe, Technical Report of the IEEJ, IIC-90-14, pp. 19-27 (1990)Google Scholar