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  • 标题:Online Guidance for Effective Investment Using Type 2 Fuzzy-Neuro Advisory System
  • 本地全文:下载
  • 作者:Jeegar A Trivedi ; Priti Srinivas Sajja
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:2
  • 页码:799-803
  • 出版社:TechScience Publications
  • 摘要:In developing countries major challenge for investor is where to invest savings and hard earn income. This paper presents development of an investment advisory system for Indian investor with the help of neural networks and fuzzy logic. The paper discusses about the techniques used to generate advisory systems. Among various techniques, a type 2 fuzzy logic based interface is selected to achieve human like interface and ease of working with system. Along with the type 2 fuzzy logic, an artificial neural network is employed to achieve self learning for better decision according to market trends. As a result, a hybrid framework of artificial neural network with type 2 fuzzy system is proposed in this system. This base framework of the system can be used to generate different kinds of advisory system and expert systems. To experiment the proposed framework, an Indian environment is chosen and the system and test results are discussed here.
  • 关键词:Artificial Neural Network; Type 2 Fuzzy System;Neuro-Fuzzy System; Investment; Advisory System.
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