IRAN NATIONAL FOOTBALL FORECASTING MODEL IN FIFA BY NEURO FUZZY

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GORZI ALI; AFSAR AMIR; EHSANI M.; MOHAMMADI SARDAR; AZAR ADEL; IZADI A.R.

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Journal: OLYMPIC Year:2009 | Volume:17 | Issue:2 (SERIAL 46) Page(s): 113-125

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Title

IRAN NATIONAL FOOTBALL FORECASTING MODEL IN FIFA BY NEURO FUZZY

Author(s)

Keywords

MODELINGQ3

FORECASTINGQ1

NEURO FUZZYQ3

FIFA RANKINGQ3

Abstract

Recently, there are a number of models which can be used for football rankings and prediction of future results. Predicting the results in football is as complicated and difficult as in politics and economics. The aim of this study is to determine a FORECASTING model for the rank of Iran National Football Team (NFT) in FIFA by NEURO FUZZY. The methods are used by this study consists of two parts: descriptive and analytical parts. In descriptive part, reports showed Iran in FIFA RANKING during last 119 months (1996-2006) were obtained from official site. They were including the status of Iran in every month, the number of goals, the place of matches, the type of match, the status of opponent of Iran team in ranking of FIFA in last month and regional strength of Iran opponent teams. In analytical part, the data analyzed by NEURO FUZZY and a model for FORECASTING of the rank of Iran team in next month is presented. Results were shown in two ways: first, it is conceptual model, in this model can predict status of Iran NFT in FIFA RANKING in next month’s by giving independent variables. This method is relatively precise and its results are near to real FIFA RANKING. The second is the statement, which in independent variables are not available. In this case, it can consider time as an independent variable, and predict the model upon it. For example, Iran NFT ranking in the next months will be 19, 20 ... respectively. The precision of second method was less than the first one and whatever the amplitude of FORECASTING is more; the accuracy of model will be decreasing.

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THE OPTIMIZATION OF RESISTANCE TRAINING VOLUME TO IMPROVEMENT MAXIMAL STRENGTH WITH THE HELP OF ARTIFICIAL NEURAL NETWORK

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APA: Copy

GORZI, ALI, EHSANI, M., MOHAMMADI, SARDAR, AZAR, ADEL, IZADI, A.R., & AFSAR, AMIR. (2009). IRAN NATIONAL FOOTBALL FORECASTING MODEL IN FIFA BY NEURO FUZZY. OLYMPIC, 17(2 (SERIAL 46)), 113-125. SID. https://sid.ir/paper/37864/en

Vancouver: Copy

GORZI ALI, EHSANI M., MOHAMMADI SARDAR, AZAR ADEL, IZADI A.R., AFSAR AMIR. IRAN NATIONAL FOOTBALL FORECASTING MODEL IN FIFA BY NEURO FUZZY. OLYMPIC[Internet]. 2009;17(2 (SERIAL 46)):113-125. Available from: https://sid.ir/paper/37864/en

IEEE: Copy

ALI GORZI, M. EHSANI, SARDAR MOHAMMADI, ADEL AZAR, A.R. IZADI, and AMIR AFSAR, “IRAN NATIONAL FOOTBALL FORECASTING MODEL IN FIFA BY NEURO FUZZY,” OLYMPIC, vol. 17, no. 2 (SERIAL 46), pp. 113–125, 2009, [Online]. Available: https://sid.ir/paper/37864/en

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