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Open Access Article
1 - Provide a model for the role of professional ethics in creating strategic advantage by emphasizing the mediating role of social responsibility
omid farzin rohollah samieiIntroduction: Professional ethics means the do's and don'ts of philosophical value to oneself, others, and society, as well as the commitment that one has in one's career to others and society. The present study presents the role model of professional ethics in creating MoreIntroduction: Professional ethics means the do's and don'ts of philosophical value to oneself, others, and society, as well as the commitment that one has in one's career to others and society. The present study presents the role model of professional ethics in creating a strategic advantage in the public sector administrative system by emphasizing the mediating role of social responsibility.Method: The present study is of mixed nature in terms of exploratory nature and in terms of practical purpose and in terms of data collection method. There are 250 people (from elites, managers and deputy directors of the tax administration of the northern provinces of the country) who, using Morgan's tables, randomly answered 163 questions to the questionnaires of professional ethics and strategic advantage. To investigate the relationship between the variables, the Delphi fuzzy neural network method was adapted using MATLAB software and the model was evaluated and approved.Finding: Research findings show that there is a significant linear relationship between professional ethics and social responsibility. The more professional ethics, the greater the social responsibility. Ethics mediates social responsibility and increases strategic advantage in the organization.Discussion and Conclusion: Therefore, organizations should provide the necessary bases for the promotion of social responsibility by observing and establishing the standards and principles of professional ethics in the organization. Relationship between social responsibility and strategic advantage by developing social strategies based on opportunities, resources. And organizational facilities, skills, and competencies are affected and affected. Manuscript profile -
Open Access Article
2 - Numerical solution of hybrid fuzzy differential equations by fuzzy neural network
M. Othadi M. Mosleh -
Open Access Article
3 - Numerical solution of fuzzy differential equations under generalized differentiability by fuzzy neural network
M. Mosleh -
Open Access Article
4 - Predicting financial statement fraud using fuzzy neural networks
Mohsen Rostamy-Malkhalifeh Maryam Amiri Mehrdad Mehrkam -
Open Access Article
5 - Adaptive Control of the 3-Story Benchmark Building Equipped with MR Damper using Fractional Order Robust Controller
Ommegolsoum Jafarzadeh Seyed Arash Mousavi Ghasemi seyyed Mehdi Zahraei Ardashir Mohammadzadeh Ramin Vafaei PoursorkhabiThe goal of the present research is to propose a novel adaptive fractional order PID (AFOPID) controller whose parameters are tuned online by five exclusive multilayer perceptron (MLP) neural networks using the extended Kalman filter (EKF). An MLP neural network that is MoreThe goal of the present research is to propose a novel adaptive fractional order PID (AFOPID) controller whose parameters are tuned online by five exclusive multilayer perceptron (MLP) neural networks using the extended Kalman filter (EKF). An MLP neural network that is trained using the Back Propagation (BP) error algorithm is considered to identify the structural system and estimate the plant. The Jacobian of the model estimated online is utilized to apply to the controller. Considering the adaptive interval type-2 fuzzy neural networks (IT2FNN) and this issue that the compensator is tunned by EKF and feedback error learning strategy (FEL), the stability and robustness of this controller are increased against the estimation error, seismic disturbances, and some unknown nonlinear functions. In order to validate, the performance of the proposed controller is investigated on a 3-story nonlinear benchmark building equipped with semi-active dampers under far and near field earthquakes. In order to evaluate the effectiveness of the proposed controller equipped with a compensator in reducing seismic responses, the evaluation indices were discussed and compared with previous studies. The numerical results represent the substantial efficiency of the proposed adaptive controller (AFOPID) over the previous controllers such that J2 in the Hachinohe and Northridge earthquakes enhanced by up to 35% and more than 40%, respectively. In general, all indices ( J3 to J6 ) have experienced a considerable enhancement using the proposed method. Manuscript profile -
Open Access Article
6 - Presenting a model for predicting the price of digital currency in conditions of environmental uncertainty with a fuzzy artificial neural network
mohammad hasan darvish motevali shirin aminiAbstarctIn this research, using the method of fuzzy neural networks, the price of Bitcoin is predicted. In order to identify the appropriate criteria in this research in order to predict the price of Bitcoin, we have used previous studies and researches in this field in MoreAbstarctIn this research, using the method of fuzzy neural networks, the price of Bitcoin is predicted. In order to identify the appropriate criteria in this research in order to predict the price of Bitcoin, we have used previous studies and researches in this field in the first stage. In the following, using interviews with experts and experts in this field, the available information about Bitcoin became the final factors. Research information was collected using related sites and identified criteria. In this way, we first normalized the collected data. In the next step, by entering the normalized information into the MATLAB software and using the designed toolbox and using the fuzzy neural network method, Bitcoin price was predicted. In this way, 60% of the input data, which includes 1330 data, was considered as training data and 40% of the data, which is 887 data, was considered as testing. The research results show high accuracy prediction using the proposed method. As the error was considered in two cases, a small value was calculated for the error of the method. Keywords: prediction, bitcoin price, fuzzy neural network. Manuscript profile -
Open Access Article
7 - Fuzzy intelligent forecasting approaches and tools in the field of digital currencies: A systematic review
Davood ZareKhaneghah Ali Mohammadi Mohammad Imani Barandagh Amir NajafiAbstract Digital currency, is one of the most important factors in the success of organizations that will be present in the arena of global competition. In the present review, the most important theories of digital currency forecasting based on fuzzy hybrid models and MoreAbstract Digital currency, is one of the most important factors in the success of organizations that will be present in the arena of global competition. In the present review, the most important theories of digital currency forecasting based on fuzzy hybrid models and artificial neural networks have been systematically investigated. These models mainly focus on supervised methods for measuring hybrid models. Also, basic concepts about the history of hybrid models from the first proposed models to current developed models, their combinations and architectural capabilities, data processing and measurement methods of these intelligent models are presented so that evolution This category of intelligent systems is analyzed. Finally, the features of prominent (leading) models and their applications in digital currency forecasting are presented. The results show that fuzzy neural network models and their derivatives are efficient in predicting digital currency with very high accuracy and with good justification capability that is used in a wide range of economic and scientific fields. Manuscript profile -
Open Access Article
8 - Predict of Happiness Based on Resilient Components Using Adaptive Neuro-Fuzzy Inference System in Female-headed households
Parastoo Afarinandeh Shima ParandinFemale-headed households have many physical and mental problems. Today, methods of mathematical computing can be used as reliable tool for predicting individuals' psychological problems. Targeting and optimism about the future are important components of resiliency that MoreFemale-headed households have many physical and mental problems. Today, methods of mathematical computing can be used as reliable tool for predicting individuals' psychological problems. Targeting and optimism about the future are important components of resiliency that affect women's happiness. Happiness and consequently depression in female-headed households is a disease so it needs to be identified and predicted. The aim of this study was to predict happiness in female-headed based on resiliency components using ANFIS. In this study, the measuring instrument was the Conner and Davidson Resiliency and the Oxford Happiness Questionnaire. The statistical population included 50 female-headed households. The mean happiness and resiliency in female-headed households was 39.8 and 40.26, respectively. After evaluating the models, the final model of happiness prediction based on resiliency components was used. Based on the results, the correlation between resiliency level and happiness of female head was 0.96. The results showed that increasing resiliency in the Female-headed households had a direct and significant effect on their happiness. Based on the results of the high accuracy 0.94 in the final model, fuzzy neural networks can be used well and accurately to predict the level of happiness of Female-headed households, especially at the level of their depression risk. Manuscript profile
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