Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data by M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, Mohamad Khairi Ishak

“…Besides, the OFDNN-PDDC technique utilizes a fuzzy restricted Boltzmann machine (FRBM) model to detect plant diseases. …”
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“Best of Both World”: The Amalgamation of Fuzzy Delphi Method with Nominal Group Technique for Dengue Risk Prioritisation Decision-Making by Mohd‘Ammar Ihsan Ahmad Zamzuri, Nurul Athirah Naserrudin, Noor Khalili Mohd Ali, Suriyati Abd Aziz, Mohammad Faid Abd. Rashid, Rahmat Dapari, Abdul Rahman Ramdzan, Rozita Hod, Mohd Rohaizat Hassan

“…Apart from that, all eight SEAs passed the triangulation of fuzzy numbers and defuzzification processes. The average fuzzy numbers ranged between 0.500 and 0.780, and the threshold value (d) ranged from 0.055 to 0.196. …”
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Sistem Identifikasi Kesehatan Berdasarkan Detak Jantung, Kadar Oksigen, dan Suhu Tubuh Menggunakan Metode Fuzzy Mamdani by Arsal Wildan Naviaddin, Barlian Henryranu Prasetio, Rakhmadhany Primananda

“…Then, the two-sensor data are sent to Google Firebase by utilizing the real-time database service feature so that the data can be displayed directly in the Android application. The two sensors are connected to the NodeMCU ESP8266 microcontroller, then the sensor measurement results data along with the fuzzy calculations are sent to the Firebase database so that they can be displayed on a smartphone. …”
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Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. by Jia Wen, Pinhong Zeng

“…We collected data from 126 university teachers, using 90 samples for training and 36 for testing, to ascertain the model's applicability and accuracy.<h4>Results</h4>The T-S fuzzy neural network showcased exceptional learning efficiency and achieved a 98.15% accuracy rate in assessing the sustainable scientific research capabilities of university teachers, outperforming both Naive Bayes and BP neural networks in effectiveness.…”
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Direct torque control for a six phase induction motor using a fuzzy based and sliding mode controller by Mohamed I. Abdelwanis, Alaa A. Zaky, F. Selim

“…This study proposes an enhanced DTC strategy for a modified six-phase induction motor (MSPIM) by integrating Fuzzy-Based Proportional-Integral-Derivative (FPID) control compared with conventional PID and Sliding Mode Control (SMC). …”
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Management of power in single rotor wind turbine systems using fuzzy controller based on fractional order error approaches by Habib Benbouhenni, Adil Yahdou, Z. M. S. Elbarbary, Abdelkadir Belhadj Djilali, Ilhami Colak, Saad F. Al-Gahtani

“…Abstract Fuzzy Logic (FL) is a well-established artificial intelligence technique, particularly valuable in control applications where system modeling is either highly complex or impractical. …”
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Research on innovative design of medical bottle opening device based on fuzzy set qualitative comparative analysis (fsQCA) by Wang Yuqing, Sun Hu

“…Based on fuzzy set qualitative comparative analysis (fsQCA) research methodology, an innovative study was conducted on medical-bottle-opening devices to ensure convenience of use and reduce occupational exposure for healthcare workers. …”
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Projection Group Decision-making Model of Water Conservancy Project Emergency Plans Based on Interval Intuitionistic Fuzzy Information by CAO Xiongfeng, XIE Wenjing, FENG Jiwei

“…To deal with the group decision-making of emergency plans more accurately and efficiently,this paper proposes a group decision-making model of emergency plans based on interval intuitionistic fuzzy information and projection method,since the decision information with zero value in the aggregation operators will get inaccurate results.First,the interval intuitionistic fuzzy set theory and projection method are utilized to build a multi-objective optimization model to solve the optimal aggregation information of the group.Then,the interval intuitionistic fuzzy entropy is adopted to determine the attribute weight of the index,and the closeness based on the project projection is employed to determine the optimal plan.Finally,the effectiveness of the decision-making model is verified by case analysis.The research results show that the social impact of disasters and the aftermath treatment play an important role in emergency decision-making;the projection decision-making model improves the accuracy and efficiency of the decision-making process and has good applicability and generalization.…”
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Fixed-Time Adaptive Synchronization of Fractional-Order Memristive Fuzzy Neural Networks with Time-Varying Leakage and Transmission Delays by Yeguo Sun, Yihong Liu, Lei Liu

“…This paper addresses the issue of FTS for a specific class of fractional-order memristive fuzzy neural networks (FOMFNNs) that include both leakage and transmission delays. …”
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A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach by Mohammed S. Al-Samarraay, Aws A. Magableh, Rana I. Mahmood, Shahad Sabbar Joudar, Idrees A. Zahid, Jameel R. Al-Obaidi, Ali Z. Al-Saffar, A. S. Albahri, O. S. Albahri, A. H. Alamoodi, Mohd Faizal Nizam Lee Abdullah

“…This study presents a computationally intelligent triage model tailored for AGA, emphasizing the applicability of fuzzy MCDM techniques in medical decision support. …”
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An analytics-driven economic order quantity model integrating fuzzy learning for deteriorating imperfect items in sustainable supply chains by M. Palanivel, M. Venkadesh, S. Vetriselvi, M. Suganya

“…This study presents an advanced Economic Order Quantity inventory model that integrates intuitionistic fuzzy sets and fuzzy learning to enhance decision-making under environmental uncertainty. …”
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Cognition-enhanced geospatial decision framework integrating fuzzy FCA, surprisingly popular method, and a large language model by Bongjae Kwon, Kiyun Yu

“…Abstract This study introduces a cognition-enhanced framework for geospatial decision-making by integrating Fuzzy Formal Concept Analysis (FCA), the Surprisingly Popular (SP) method, and a Large Language Model (GPT-4o). …”
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Combining proportional integral and fuzzy logic control strategies to improve performance of energy management of fuel cell electric vehicles by Hegazy Rezk, Ahmed Fathy

“…For electric vehicle applications, optimizing hydrogen consumption is one of the most important challenges and an addition to saving the battery life. …”
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Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection by Salma Khan, Hamza Ali Abujabal, Muhammad Rahim, A. Almutairi, Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa

“…Abstract This study proposes novel operational laws that extend the Frank t-norm and t-conorm to develop a new class of aggregation operators (AOs), namely the $$p,q-$$ quasirung orthopair fuzzy Frank weighted average, weighted geometric, ordered weighted average, and ordered weighted geometric operators. …”
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Research on fuzzy proportional–integral–derivative (PID) control of bolt tightening torque based on particle swarm optimization (PSO) by X. Cheng, Z. Guo, J. Ke

“…<p>Bolt connections are common in industrial and manufacturing applications; however, improper torque tightening can lead to issues such as over-tightening or under-tightening, which negatively affect connection quality and lifespan. …”
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Selection of an Appropriate Global Partner for Companies Using the Innovative Extension of the TOPSIS Method with Intuitionistic Hesitant Fuzzy Rough Information by Attaullah, Sultan Alyobi, Mohammed Alharthi, Yasser Alrashedi

“…The demonstrative analysis reveals that the outlined strategy has applicability and flexibility in aggregating intuitionistic hesitant fuzzy rough information and is feasible and insightful for dealing with multi attribute decision making issues based on the intuitionistic hesitant fuzzy rough set. …”
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Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…This study introduces the Fuzzy Stochastic Transportation Problem with Lomax Distribution (FSTPWLD) as a framework to address LOS variability. …”
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Racket, Rhythm, and Results: Assessment of Factors Leading to Transformation of Badminton Teaching Based on Intuitionistic Fuzzy Extended DEMATEL Method by Feifei Du

“…The proposed research extends the decision-making trial and evaluation laboratory (DEMATEL) through the combination of intuitionistic fuzzy sets (IFSs) and multiple decision-maker (DMK) participation. …”
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Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier by Masoumeh Bourjandi, Meisam Yadollahzadeh‐Tabari, Mehdi GolsorkhtabariAmiri

“…Abstract Accurate prediction of a user's movement path has various advantages for many applications, such as optimising a nurse's trajectory in a hospital and assisting elderly or disabled people and making them feel secure and protected in the places where they live. …”
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Optimization of tribo-mechanical properties of kenaf/jute-SiC hybrid composites using integrated grey-fuzzy approach by Aravindh Murugan, Debabrata Barik, Rasan Sarbast Faisal, Makeshkumar Mani, Milon Selvam Dennison, Seepana Praveenkumar, Saravanan Rajendran

“…In addition, a multi-response optimization technique combining the fuzzy model interference system and grey relation analysis (GRA) is adopted in the current work. …”
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