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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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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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Venture Capital Portfolio Optimization through Hybrid Approach of Agent-based Modeling and Modified Harmony Search

کلیدواژه: Venture capital,Agent-based modeling,Harmony search,Particle swarm optimization,Adaptive Network Fuzzy Inference System

نویسندگان: Hasheminejad Seyed Ali, BAGHERPOUR MORTEZA

ناشر: تحقیقات مالی - Financial Research Journal

Objective: Increasing the competitiveness of countries in the world can be reached only through innovation and the financial aspect is the most important pillar of a national innovation System. Hence, the role of Venture capital in developing knowledge-based institutions is vital. However, startup p... ادامه

سال:2020

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The Application of Metaheuristic Optimization Algorithms of Gravitational Search, Particle swarm, and their Hybrid in Fracture Network Modeling

کلیدواژه: Fractured Network Modeling,Multivariate Optimization Algorithms Particle Swarm Optimization,Gravitational Search Algorithm

نویسندگان: SHAKIBA Sima, DOULATI ARDEJANI FARAMARZ

ناشر: پژوهش نفت - PETROLEUM RESEARCH

Fractured Network modeling is the main prerequisite for fluid flow simulation in many applications such as groundwater resource management, oil and gas reservoir simulation, geothermal energy resource modeling and etc. The aim of this study is to develop an iterative object-based algorithm for fract... ادامه

سال:2023

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Developing a Model for Policy Making in Digital Banking, based on Network Approach

کلیدواژه: Public Policy Making,Smart Economy,Digital Banking,Network Policy Making,Digital Banking Policy Making Actors

نویسندگان: Ghadami Mehdi, MOUSAKHANI MORTEZA, Alwani Sayyed Mehdi, yazdani hamidreza

ناشر: سیاستگذاری عمومی - IRANIAN JOURNAL OF PUBLIC POLICY

Networks are considered as tools of collaboration between different sections of society. Using Networks, all stakeholders can be involved in the policy-making process. The digitalization of the economy in general and the banking industry in particular, is among the phenomena of the present age. The ... ادامه

سال:2022

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New Approach for Prediction of Water Distribution Network Pipes Failure based on a Intelligent Hybrid Model (Case Study: Gorgan Water Distribution Network)

کلیدواژه: Gorgan,Hybrid Model,Intelligent Model,Pipe Failure Rate,Urban Water Distribution Network

نویسندگان: JAFARI S.M., ZAHIRI A., BOZORG HADAD O., MOHAMMAD REZAPOUR TABARI M.

ناشر: پژوهش های حفاظت آب و خاک - Journal of Water and Soil Conservation

Background and Objectives: Urban water distribution Networks consider as one of the essential infrastructural facilities and equipment in urban areas. The pipes are one of the primary and essential components of a water distribution Network break during operation due to various factors. So, developi... ادامه

سال:2021

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Explaining Network Model of Social Responsibility Actors in Accounting from Perspective of Corporate Governance System

کلیدواژه: Sociology,Actor Network,Corporate Governance System,Corporate Social Responsibility

نویسندگان: MOHAMMADI OMID, GIVAKI EBRAHIM, Kabiri Mohamad Taghi, MOSLEMI AZAR

ناشر: حسابداری و منافع اجتماعی - حسابداری و منافع اجتماعی

Objective: The research is aimed at designing Network model of social responsibility actors in accounting from perspective of corporate governance System. Method: To achieve research goal, primarily and studying theoretical foundations, research background, and performing semi-structured interviews ... ادامه

سال:2022

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Performance Evaluation and Credit Rating of Mutual Funds Using the Optimistic-Pessimistic Fuzzy Network Data Envelopment Analysis Approach

کلیدواژه: Mutual Funds, Network Data Envelopment Analysis, Uncertainty, fuzzy optimization, Possibilistic programming, Possibility and Necessity Measures

نویسندگان: Mansouri Hossein, Mollaei Hamid Reza, Mousavi-Nasab Seyed Hadi, Firoozi Zahra, Mohammadi Emran

ناشر: سیستم های فازی و کاربردها - سیستم های فازی و کاربردها

This study proposes an effective and powerful approach for analyzing the performance, credit rating, and ranking of mutual funds, taking into account their inherent Network structures and the uncertainties prevalent in financial markets. To this end, the Network structure and internal operations of ... ادامه

سال:2024

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Development of Earning Manipulation Prediction Model Applying Hybrid Neural Network and Cosmology based Algorithms

کلیدواژه: Multi-layer perceptron neural network, Cosmology algorithms, Beneish model, Corporate governance system

نویسندگان: Maleki Nia Nahid, Tehrani Reza, Tabriz Akbar Akbar, Fallah Shams Mirfeiz

ناشر: اقتصاد پولی، مالی - Monetary and Financial Economics

Extended abstract1- INTRODUCTIONAccurately predicting earning manipulation in order to detect and identify manipulation of financial statements has always been one of the most fundamental challenges ahead of financial reports users. Because of increasing financial reporting fraud, this fact resulted... ادامه

سال:2021

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