Fuzzy linear regression and its applications to forecasting in uncertain environment

作者: Behrooz Heshmaty , Abraham Kandel

DOI: 10.1016/0165-0114(85)90044-2

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摘要: Abstract Linear regression has been used for many years in developing mathematical models application marketing, management, and sales forecasting. In this paper, two different forecasting techniques are discussed. The first technique involves non-fuzzy abstract methods of linear econometrics. A study the international market cameras, done 1968 by John Scott Armstrong, utilized these techniques. second uses fuzzy introduced H. Tanaka, S. Uejima, K. Asai, 1980. a computer peripheral equipment United States is discussed using regression. Moreover, applied to an uncertain environment. Finally, some possible improvements suggestions further mentioned.

参考文章(7)
P Hodges, P Archbold, The Datamation 100 Datamation archive. ,vol. 32, pp. 42- 54 ,(1986)
J. Scott Armstrong, Long-Range Forecasting for a Consumer Durable in an International Market Social Science Research Network. ,(1968) , 10.2139/SSRN.1969710
Lynn Conway, Carver Mead, Introduction to VLSI systems ,(1978)
A. Kandel, W.J. Byatt, Fuzzy sets, fuzzy algebra, and fuzzy statistics Proceedings of the IEEE. ,vol. 66, pp. 1619- 1639 ,(1978) , 10.1109/PROC.1978.11171