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Information Journal Paper

Title

Designing a hybrid intelligent model for predicting the Financial Richness

Pages

  211-229

Abstract

 This study aims to present an intelligent model for predicting financial opulence in the security companies as a system that supports the decisions. For this reason, by investigating background of the seventeen numbers of variables as a predictor variable for predicting the class of financial opulence from valid sources of central security Site G. A. A during the years 1390-1395 had been extracted. For conducting this investigation, there had been used of the data of Security Industry, during the years 1390 to 1395. In this investigation, first, we compare the results of applying different models of prediction based on data mining and in the second stage, we investigate the ranking of predicting algorithms. The finding results of this investigation showed that the financial opulence with acceptable precision is predictable and the extracted model by using the decision tree has very high precision and capability.

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    APA: Copy

    Shahbazadeh, Fatemeh, ABBASI, EBRAHIM, Didehkhani, Hosein, & Khozean, Ali. (2020). Designing a hybrid intelligent model for predicting the Financial Richness. INVESTMENT KNOWLEDGE, 9(34 ), 211-229. SID. https://sid.ir/paper/388522/en

    Vancouver: Copy

    Shahbazadeh Fatemeh, ABBASI EBRAHIM, Didehkhani Hosein, Khozean Ali. Designing a hybrid intelligent model for predicting the Financial Richness. INVESTMENT KNOWLEDGE[Internet]. 2020;9(34 ):211-229. Available from: https://sid.ir/paper/388522/en

    IEEE: Copy

    Fatemeh Shahbazadeh, EBRAHIM ABBASI, Hosein Didehkhani, and Ali Khozean, “Designing a hybrid intelligent model for predicting the Financial Richness,” INVESTMENT KNOWLEDGE, vol. 9, no. 34 , pp. 211–229, 2020, [Online]. Available: https://sid.ir/paper/388522/en

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