Designing a Model for Predicting and Evaluating the Innovation Capacity of Knowledge-based Companies with a Neural-Adaptive Fuzzy Inference System (ANFIS)

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Alinezhad Aamirhamzehe; AZAR ADEL; PourZarandi Mohammadebrahim

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Journal: PUBLIC MANAGEMENT RESEARCHES Year:2020 | Volume:13 | Issue:47 Page(s): 55-84

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Information Journal Paper

Title

Designing a Model for Predicting and Evaluating the Innovation Capacity of Knowledge-based Companies with a Neural-Adaptive Fuzzy Inference System (ANFIS)

Author(s)

Alinezhad Aamirhamzehe | AZAR ADEL | PourZarandi Mohammadebrahim | Issue Writer Certificate

Keywords

Knowledge FoundationQ1

InnovationQ1

Adaptive Fuzzy-Neural Conclusion System (ANFIS)Q1

Abstract

Assessing the Innovation capacity of knowledge-based companies and predicting their Innovation capacity is very important for these companies, and the decision to transfer or expand the company's technology depends on the level of Innovation capacity. The main purpose of this study is to design a model for assessing the Innovation capacity of knowledge-based companies with a neural-adaptive fuzzy inference approach. Nervous-adaptive fuzzy inference system (ANFIS) is a good way to solve nonlinear problems. ANFIS is a combination of fuzzy inference and neural network that utilizes both. The research and statistical sample population for compiling, implementing and testing the model is all the knowledge-based companies of Pardis Technology Park, and finally 180 items were evaluated, collected by expert evaluators and based on model calculations. To evaluate the performance of the model, the parameters of the average error square (RMSE), relative error percentage (e), absolute error average (MAE) and coefficient of explanation (R2) were calculated, which are 0. 0136, 1. 3%, and 0. 048, respectively. And 0. 998 was obtained. which indicates the accuracy and reliability of the model output prediction. This research is descriptive-survey in terms of purpose, application, and data collection method. The output of this study is "ANFIS".

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APA: Copy

Alinezhad, Aamirhamzehe, AZAR, ADEL, & PourZarandi, Mohammadebrahim. (2020). Designing a Model for Predicting and Evaluating the Innovation Capacity of Knowledge-based Companies with a Neural-Adaptive Fuzzy Inference System (ANFIS). PUBLIC MANAGEMENT RESEARCHES, 13(47 ), 55-84. SID. https://sid.ir/paper/398224/en

Vancouver: Copy

Alinezhad Aamirhamzehe, AZAR ADEL, PourZarandi Mohammadebrahim. Designing a Model for Predicting and Evaluating the Innovation Capacity of Knowledge-based Companies with a Neural-Adaptive Fuzzy Inference System (ANFIS). PUBLIC MANAGEMENT RESEARCHES[Internet]. 2020;13(47 ):55-84. Available from: https://sid.ir/paper/398224/en

IEEE: Copy

Aamirhamzehe Alinezhad, ADEL AZAR, and Mohammadebrahim PourZarandi, “Designing a Model for Predicting and Evaluating the Innovation Capacity of Knowledge-based Companies with a Neural-Adaptive Fuzzy Inference System (ANFIS),” PUBLIC MANAGEMENT RESEARCHES, vol. 13, no. 47 , pp. 55–84, 2020, [Online]. Available: https://sid.ir/paper/398224/en

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