Designing a hybrid intelligent model for predicting the Financial Richness
Subject Areas : Journal of Investment Knowledge
fatemeh shahbazadeh
1
(Department of financial management)
ebrahim abbasi
2
(Associate Professor at Alzahra University,Iran,Tehran)
Hosein Didehkhani
3
(Department industrial engineering)
Ali Khozean
4
(Department of Accounting, Ali Abad katoul Branch, Islamic Azad University, Ali Abad Katoul, Iran)
Keywords: financial markets, financial solvency, data mining, Neural Network,
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.
. دقیقی اصلی، علیرضا، پریزادی، عیسی، طیار، شاهین، (1392). " اوﻟﻮﻳﺖ ﺑﻨﺪی ﺳﻴﺴﺘﻢﻫﺎی ﻣﺨﺘﻠﻒ ﻧﻈﺎرت ﺑﺮ ﺗﻮاﻧﮕﺮی ﺷﺮﻛﺖﻫﺎی ﺑﻴﻤﻪ ﺑﺎ اﺳﺘﻔﺎده از ﺗﻜﻨﻴﻚ ﻓﺮاﻳﻨﺪ ﺗﺤﻠﻴﻞ ﺳﻠﺴﻠﻪ ﻣﺮاﺗﺒﻲ(AHP)" ﭘﮋوﻫﺸﻨﺎﻣﺔ ﺑﻴﻤﻪ، شماره1، بهار 1392، شماره مسلسل109، صص 1 تا 31.
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