Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects by Lesia Dubchak, Anatoliy Sachenko, Yevgeniy Bodyanskiy, Carsten Wolff, Nadiia Vasylkiv, Ruslan Brukhanskyi, Volodymyr Kochan

“…Modern defect detection applications have significant computing resources needed for training and insufficient accuracy. The goal of this study is to develop the improved adaptive neuro-fuzzy inference system (ANFIS) for wind turbine defect detection, which will reduce computing resources and increase its accuracy. …”
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A multi-dimensional neutrosophic PESTEL approach to assessing the TEC21 educational model by Mohd Anas Wajid, Claudia Camacho-Zuñiga

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Improving the performance of the coffee supply chain using integrating fuzzy MCDM and simulation methods. by Ghazi M Magableh, Abdullah F Al-Dwairi, Ahmad Alhamouri

“…Real company data is utilized to study, apply and evaluate the methodology used. …”
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A Fuzzy AHP-Based Method for Comprehensive Blasting Vibration Comfort Evaluation Forecast by Qiang Yao, Xingguo Yang, Hongtao Li

“…The weight of each index is determined using the analytic hierarchy process. By developing the mathematical models, defining and quantifying the BVCE indices, and analyzing the factors that influence blasting vibration comfort in a hierarchical manner, this study proposes an exploratory fuzzy AHP-based method for comprehensive BVCE. …”
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Evaluating Agile Practices in Green Supply Chain Management Using a Fuzzy Multicriteria Approach by Mahsa Jamshidi Dolatabad, Mahsa Azhdarifard, Ngakan Ketut Acwin Dwijendra, Ahmed Qassem Ali Sharhan Al-Sudani

“…Ensuring the successful implementation of sustainable development goals in each country today depends heavily on the preservation and optimal use of its limited irreplaceable resources; therefore, a wide range of measures have been thus far taken by governments to deal with this issue. …”
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Intelligent Gamification Mechanics Using Fuzzy-AHP and K-Means to Provide Matched Partner Reference by Fitri Marisa, Sharifah Sakinah Syed Ahmad, Nasreen Kausar, Sajida Kousar, Dragan Pamucar, Nasr Al Din Ide

“…The sixth is to conduct experiment with the prototype results to test all the functions of the proposed model. Fuzzy-AHP produces a weight for each tested data which can be claimed as a ranking, with the highest weight value being 9,980. …”
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Fuzzy-set qualitative comparative analysis of implementation outcomes in an integrated mental healthcare trial in South Africa by André Janse van Rensburg, Tasneem Kathree, Erica Breuer, One Selohilwe, Ntokozo Mntambo, Ruwayda Petrus, Arvin Bhana, Crick Lund, Lara Fairall, Inge Petersen

“…A fuzzy-set qualitative comparative analysis was performed by 1) developing the research questions, 2) developing the fuzzy set, 3) testing necessity and 4) testing sufficiency. …”
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Designing an Adaptive Nuero-Fuzzy Inference System for Evaluating the Business Intelligence System Implementation in Software Industry by Iman Raeesi Vanani, Fatemeh Ganjalikhan Hakemi

“…The main goal of research is designing an adaptive nuero-fuzzy inference system for evaluating the implementation of business intelligence systems in software industry. …”
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Fuzzy Synthetic Evaluation of the Barriers and Sustainable Pathways for Women During the Transition from Higher Education to Empowerment in Pakistan by Muhammad Qasim Rana, Noreen Saher, Angela Lee, Zeba Shabbir

“…This study explores the barriers that impede women’s transition from higher education to empowerment in Pakistan. It uses Fuzzy Synthetic Evaluation (FSE). By integrating qualitative and quantitative data, this research identifies six primary barriers: sociocultural values, family-related issues, freedom and mobility, violence and harassment, economic factors, and gendered norms. …”
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Refining the TPACK framework: a Fuzzy Delphi approach to 21st-century competency and self-efficacy constructs by Fetylyana Nor Pazilah, Harwati Hashim, Melor Md Yunus

“…This study employed the Design and Development research design (Type 2). The Fuzzy Delphi method was used to analyse data from 12 appointed experts. …”
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Internet of things driven hybrid neuro-fuzzy deep learning building energy management system for cost and schedule optimization by Deepshikha Shrivastava, Deepshikha Shrivastava, Prerna Goswami

“…Based on the previous literature, a hybrid DL model was developed using artificial neural networks and fuzzy logic by integrating fuzzy layers in the deep neural architecture. …”
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Diversifying configurational paths for athlete data protection by Xinyan Guo, Xiaoyu Li, Mengqi Guo

“…They promote the safe use of sports data and the overall progress of the industry. Moreover, with the worldwide focus on sustainable development goals, the sports industry, as an essential component, plays an increasingly prominent role in promoting coordinated development of society, economy, and environment. …”
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A novel approach to multi-objective portfolio selection: modeling emerging financial markets using satisfaction functions and fuzzy values by Milad Saleki, Mohamad Saber Falah Nejad, Davood Shishebori, Mohammad Aref Dehghani Tafti

“…For this purpose, the present research proposes an appropriate approach using ideal and anti-ideal values, ideal values, as well as maximum deviations of each objective, considering the sample in the examined market, fuzzy goals, interval fuzzy values for each asset, and their combination with satisfaction functions, fuzzy ideal planning, and weighting objectives using expert decision-makers' opinions, as well as the development of fuzzy basic weighting method. …”
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Enhancing gas concentration prediction and ventilation efficiency in deep coal mines: a hybrid DL-Koopman and Fuzzy-PID framework by Keyi Yuan, Ke Gao, Yujiao Liu

“…By analyzing historical data on gas concentrations and wind speeds, the model identifies underlying patterns to develop a robust predictive framework. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

“…These findings suggest that this robust routing model not only guarantees efficient data transmission and performance. But it also guarantees the stability of the overall network. …”
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Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems by Khumara Ashraf, Zeeshan Ali, Chiranjibe Jana, Adel Fahad Alrasheedi, Nikola Ivković, Domagoj Tuličić

“…Abstract Circular bipolar complex fuzzy sets are more efficient to cope with awkward and vague data, because it is a modified technique of various existing tools, for instance, fuzzy sets and their extensions, bipolar fuzzy sets and their extensions, and circular fuzzy sets with their extensions. …”
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Real-Time Implementation of a Microcontroller-Based Coupled-Tank Water Level Control System with Feedback Linearization and Fuzzy Logic Controller Algorithms by Bahadir Yesil, Savas Sahin

“…An embedded coupled tank system (CTS) based on an ARM Cortex M7 microcontroller is developed for liquid level control, utilizing three nonlinear control strategies: fuzzy logic controller (FLC), feedback linearization (FL)-based proportional integral derivative (PID) controller, and FL-based FLC. …”
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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method by M. Waheed Rasheed, Hind Y. Saleh, Areen A. Salih, Jahangeer Karamat, Muhammad Bilal

“…The constructed multi-attribute group decision-making framework includes the following scenario: (1) In contrast to other types of fuzzy sets, the 2-tuple linguistic T-spherical fuzzy set (2TLT-SFS) looks to be a potent tool for dealing with informational inconsistencies in decision-making scenarios; (2) in order to render the 2TLT-SF accumulation details processing more flexible, the addition, multiplication, scalar multiplication, and exponential laws that are predicated on the Schweizer-Sklar collection of t-conorms and t-norms are described; (3) the Schweizer-Sklar weighted average and Schweizer-Sklar weighted geometric operators are then put forward employing the aforementioned operations to combine the data; (4) subsequently, using newly developed operators (referred to as 2TLT-SF Schweizer-Sklar weighted average and 2TLT-SF Schweizer-Sklar weighted geometric), this work enhances the conventional weighted aggregated sum product assessment (WASPAS) approach. …”
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The Impact of Natural Resources on the Development of Countries by Mohammad Javad Barbari, Abdolhosain Kalantari, Hosain Raghfar, Gholamreza Ghafari

“…The final goals of this article is to reach theoretical conclusion about the impact of natural resources on the development of the countries. …”
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Identification and Ranking of Ethical Human Resources Management Components in Payam Noor University by Saeid Besharati Kivi, Hamid Taboli, Zahra Forotani, Naser Barkhrordar

“…The research method is applied in terms of purpose and mixed (qualitative-quantitative) in terms of data type with an exploratory approach. The identified factors and components were measured by experts' opinions and based on the fuzzy analytic hierarchy process (FAHP) model, the factors were analyzed and combined and finally prioritized. …”
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