Designing a Model of Neural-Adaptive Fuzzy Inference System (ANFIS) to Evaluate and Predict Organizational Knowledge Management Level with Innovation Focus

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Alinejad Amir Hamzeh; AZAR ADEL

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Journal: MODERN RESEARCHES IN DECISION MAKING Year:2020 | Volume:5 | Issue:1 Page(s): 171-189

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Title

Designing a Model of Neural-Adaptive Fuzzy Inference System (ANFIS) to Evaluate and Predict Organizational Knowledge Management Level with Innovation Focus

Author(s)

Alinejad Amir Hamzeh | AZAR ADEL | Issue Writer Certificate

Keywords

Knowledge ManagementQ2

InnovationQ1

Adaptive Neural Fuzzy Inference System (ANFIS)Q1

Abstract

In recent years, Knowledge Management has become a vital issue in all organizations. Knowledge Management is one of the effective factors in creating and expanding Innovation. With Innovation, the long-term advantages of the organization are maintained in the competitive arena. Evaluating and predicting the level of Knowledge Management for managers is very important. Among the new methods of modeling, fuzzy systems have a special place in different fields of science. The purpose of this research is applied and according to data collection method is survey. The Neural-Adaptive Fuzzy Inference System (ANFIS) is a good method for solving nonlinear problems. This method combines fuzzy inference method and artificial neural network which benefits from both methods. In this study, five main components were selected as inputs for fuzzy inference system to measure and predict the level of Knowledge Management of the organization. For evaluating the model performance, the parameters of mean square error of error (RMSE), percentage of relative error (ε ), mean absolute error (MAE) and coefficient of explanation (R2) were used. Their values are 0. 12, 0. 0152%, 0. 036 and 0. 995. This indicates the accuracy and reliability of the model. The output of this study is the neural-adaptive fuzzy inference system (ANFIS).

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APA: Copy

Alinejad, Amir Hamzeh, & AZAR, ADEL. (2020). Designing a Model of Neural-Adaptive Fuzzy Inference System (ANFIS) to Evaluate and Predict Organizational Knowledge Management Level with Innovation Focus. MODERN RESEARCHES IN DECISION MAKING, 5(1 ), 171-189. SID. https://sid.ir/paper/372015/en

Vancouver: Copy

Alinejad Amir Hamzeh, AZAR ADEL. Designing a Model of Neural-Adaptive Fuzzy Inference System (ANFIS) to Evaluate and Predict Organizational Knowledge Management Level with Innovation Focus. MODERN RESEARCHES IN DECISION MAKING[Internet]. 2020;5(1 ):171-189. Available from: https://sid.ir/paper/372015/en

IEEE: Copy

Amir Hamzeh Alinejad, and ADEL AZAR, “Designing a Model of Neural-Adaptive Fuzzy Inference System (ANFIS) to Evaluate and Predict Organizational Knowledge Management Level with Innovation Focus,” MODERN RESEARCHES IN DECISION MAKING, vol. 5, no. 1 , pp. 171–189, 2020, [Online]. Available: https://sid.ir/paper/372015/en

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