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A Hybrid Model for Assessing the Effects of Industrial Complexes on the Environment Using a fuzzy expert system

کلیدواژه: Industrial Park,Environmental Impact Assessment,Fuzzy Expert System,Rapid Impact Assessment Matrix

نویسندگان: Ghobadi Morteza, Ahmadipari Masumeh

ناشر: علوم بهداشتی جندی شاپور - Jundishapur Journal of Health Sciences

Background: Identifying the effects of industrial complexes on the environmental components is essential in the industrial activities' development planning. Objectives: The purpose of this study was to evaluate the environmental impact of Khorramabad industrial parks using hybrid modeling. Methods: ... ادامه

سال:2022

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A Hybrid Intelligent Classification Model Based on Multilayer Perceptron Neural Networks and fuzzy Regression for Credit Scoring Problems

کلیدواژه: Credit scoring,Classification methods,Multilayer perceptrons (MLPs),Artificial neural networks,Fuzzy logic

نویسندگان: KHASHEI M., TORBAT SH.

ناشر: روش های عددی در مهندسی (استقلال) - JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL)

Financial crises in banking systems are due to inability to manage credit risks. Credit scoring is one of the risk management techniques that analyze the borrower's risk. In this paper, using the advantages of computational intelligence as well as soft computing methods, a new hybrid approach is pro... ادامه

سال:2019

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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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An Integrated Hybrid fuzzy Multiple-Criteria Decision-Making Model for Non-Performing Loans Collections in The Banking system (Case Study: Shahr Bank)

کلیدواژه: Bank.Non,performing loans.Fuzzy multiple,criteria decision,making

نویسندگان: RASHIDI MAJID, Fathi Hafshjani Kiamars, MODIRI MAHMOUD, Jafari Seyedeh Mahboubeh

ناشر: - Advances in Mathematical Finance and Applications

The increase in non-performing loans considerably reduces profit in the banking systems. To solve these problems, factors influencing the collection of non-performing loans have to be examined in a hopeful attempt to reduce them to an acceptable level. The present study is conducted to analyze and s... ادامه

سال:2023

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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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Using Hybrid Model of Particle Swarm Optimization and Multi-Layer Perceptron Neural Networks for Classification of Diabete

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ناشر: International Journal of Intelligent Engineering and systems - International Journal of Intelligent Engineering and systems

... ادامه

سال:2021

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Design of a Hybrid Data-Driven Classification Model for Optimal Selection of Non-Destructive Testing Methods in Weld Inspection

کلیدواژه: Non-destructive inspection, Weld Inspection, Machine Learning, Xgboost, Data-Driven Modeling

نویسندگان: Nazari Gharibdoosti Amirmahdi, Sarai Tabrizi Mahdi

ناشر: فناوری آزمون های غیرمخرب - Non-Destructive Testing Technology

Selecting the most suitable Non-Destructive Testing (NDT) method in industries such as energy, transportation, automotive, aerospace, and oil and gas significantly contributes to quality improvement, minimizing human errors, and reducing operational costs. In this study, a smart, data-driven classif... ادامه

سال:2024

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