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Open Banking Innovation Model by Digital Transformations Based on Adaptive Neuro Fuzzy Inference System (ANFIS)

کلیدواژه: Digital Transformation,Open Banking,Banking Innovation,Business Strategy,Business Model

نویسندگان: Mirfallah Lialestani Mohammadali, KHAMSEH ABBAS

ناشر: JOURNAL OF SYSTEM MANAGEMENT - JOURNAL OF SYSTEM MANAGEMENT

Given the emergence of digital transformation from Industry 4 and the rapid dissemination of technological innovations as well as their impact as a strong driving force in new banking businesses, efforts should be made to identify the dimensions of this core factor as rapidly as possible. Providing ... ادامه

سال:2021

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Long-Term Rainfall Estimation in Anzali City Using the Hybrid Wavelet-Adaptive Neuro-Fuzzy Inference System Model

کلیدواژه: Rainfall,ANFIS,Wavelet,Sensitivity analysis,Simulation,Anzali city

نویسندگان: PASANDIDEH IRAJ, IZADBAKHSH MOHAMMAD ALI, SHABANLOU SAEID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Recently, the amount of rainfall underwent serious changes in different areas, particularly in arid and semi-arid regions. Therefore, estimation and pattern recognition of rainfall in a long term period can give sufficient information to hydrologists and water engineers. In this study, for the first... ادامه

سال:2019

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Evaluation of the Accuracy of Wavelet-Neuro-Fuzzy, Neuro-Fuzzy, and Wavelet Hybrid Models in Groundwater Level Prediction (Case Study: Birjand Plain)

کلیدواژه: Wavelet analysis, Groundwater Level, Birjand plain, Fuzzy Neural Network, Water resources management

نویسندگان: Dastuorani Mehdi, Khayat Amir, Akhondi Zahra

ناشر: آبخوان و قنات - Journal of Aquifer and Qanat

Given the scarcity of water resources and the importance of their optimal management, accurate prediction of groundwater level fluctuations is essential. Intelligent models such as time series, wavelet analysis, artificial neural networks, and support vector machines can help in the sustainable u... ادامه

سال:2024

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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County)

کلیدواژه: Intelligent Modeling,Multilayer Perceptron,Neural-Fuzzy,Forest Degradation

نویسندگان: Mehrabadi Somayeh

ناشر: تحقیقات کاربردی علوم جغرافیایی - Journal of Applied Researches in Geographical Sciences

The classical methods, also known as hard methods, are based on the accuracy of calculations, while the real world is founded on the inaccuracy of boundaries and the uncertainties, which is more consistent with soft computing methods. Each of these methods has its own strengths and weaknesses, and t... ادامه

سال:2021

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Evaluation of the Neuro-Fuzzy and Hybrid Wavelet-Neural Models Efficiency in River Flow Forecasting (Case Study: Mohmmad Abad Watershed)

کلیدواژه: Daily flow time series,Flow forecasting,Neuro-fuzzy model,Wavelet-neural model

نویسندگان: Niromandfard Fariba, KHASHEI SIUKI ABBAS, SHAHIDI ALI

ناشر: پژوهشنامه مدیریت حوزه آبخیز - Journal of Watershed Management Research

One of the most important issues in watersheds management is rainfall-runoff hydrological process forecasting. Using new models in this field can contribute to proper management and planning. In addition, river flow forecasting, especially in flood conditions, will allow authorities to reduce the ri... ادامه

سال:2019

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A Hybrid Fuzzy Multi-criteria Decision Making Model Based on Fuzzy DEMATEL with Fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices

کلیدواژه: LARG Supply Chain,LARG Practices,FDANP Technique,Interpretative Structural Model,Dairy Industries

نویسندگان: AKBARZADEH Z., Safaei Ghadikolaei A.H., MADHOUSHI M., AGHAJANI H.

ناشر: - International Journal of Engineering

In recent years, taking advantage of LARG supply chain (SC) paradigm, a combination of four paradigms (clean, agile, resilience and green) has been increasingly employed. For capturing the advantages of LARG in SC, companies needed to recognize proper practices and implement them with appropriate pl... ادامه

سال:2019

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Fuzzy Logic in Accounting and Auditing

کلیدواژه: Fuzzy Logic,Accounting,Auditing,Ambiguity

نویسندگان: IMENI MOHSEN

ناشر: JOURNAL OF Fuzzy EXTENSION AND APPLICATIONS - JOURNAL OF Fuzzy EXTENSION AND APPLICATIONS

Many areas of accounting have highly ambiguous due to undefined and inaccurate terms. Many ambiguities are generated by the human mind. In the field of accounting, these ambiguities lead to the creation of uncertain information. Many of the targets and concepts of accounting with binary classificati... ادامه

سال:2020

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Developing a Hybrid Fuzzy Possibilistic-flexible Modelling with Fuzzy TOPSIS to Solve Financial Investment Mathematical Programming Problems

کلیدواژه: Possibilistic fuzzy mathematical programming,Flexible fuzzy mathematical programming,Fuzzy TOPSIS,Financial investment mathematical modeling

نویسندگان: EBRAHIMI KORDLAR ALI

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: Uncertainty is inevitable in the real world; nonetheless, Fuzzy logic is regarded as one of the approaches employed in modeling such uncertainty. Therefore, a new field of mathematical programming has been proposed that is called Fuzzy Mathematical programming. Following Bellman and Zadeh... ادامه

سال:2021

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Ranking Corporate Governance Using Fuzzy Logic in Accepted Companies the Tehran Stock Exchange

کلیدواژه: fuzzy logic,Ranking,D81,G34,Corporate Governance,fuzzy expert system JEL Classification:M49,

نویسندگان: Abdullahi Majid, Ismailzadeh Moghri Ali

ناشر: اقتصاد مالی - Financial Economics

Abstract In recent years, the support of corporate governance has attracted the attention of capital market regulatory bodies, including the stock exchange. In this regard, the corporate governance index has been taken into consideration as a monitoring tool for companies so that companies that bett... ادامه

سال:2024

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Ranking the Factors Affecting Corporate Governance in Public Sector Agencies Based on Fuzzy Approach

کلیدواژه: Public Sector Governance,Accountability,Effectiveness, Efficiency,Transparency,Openness

نویسندگان: Karnama Iman, DADASHI IMAN, Yahyazadefar Mahmoud, Gholamnia Roshan Hamidreza

ناشر: فرایند مدیریت و توسعه - Management and Development Process

Purpose: The present study identifies the factors affecting organizational governance in public sector agencies and ranks them according to their importance. Methodology: The study was exploratory, and the data collection method included interviews and questionnaires. The sources of questions were a... ادامه

سال:2021

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