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Journal articles on the topic 'Fuzzy logic method'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Rushdi, Ali Muhammad, Mohamed Zarouan, Taleb Mansour Alshehri, and Muhammad Ali Rushdi. "A Modern Syllogistic Method in Intuitionistic Fuzzy Logic with Realistic Tautology." Scientific World Journal 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/327390.

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The Modern Syllogistic Method (MSM) of propositional logic ferrets out from a set of premisesallthat can be concluded from it in the most compact form. The MSM combines the premises into a single function equated to 1 and then produces the complete product of this function. Two fuzzy versions of MSM are developed in Ordinary Fuzzy Logic (OFL) and in Intuitionistic Fuzzy Logic (IFL) with these logics augmented by the concept of Realistic Fuzzy Tautology (RFT) which is a variable whose truth exceeds 0.5. The paper formally proves each of the steps needed in the conversion of the ordinary MSM int

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Wai, Wai Tun. "Comparison of Defuzzification Methods from a Real World Problem." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 2194–97. https://doi.org/10.5281/zenodo.3591212.

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Fuzzy logic is a method to formalize the human capacity of imprecise reasoning. Fuzzy logic react how people think. It tries to make our sense of words and our decision making. As a result, it is making to human intelligent systems. There are three basic steps for fuzzy logic system i.e. Fuzzification, Rule evaluation and Defuzzification. In this paper I discuss a real life problem in which different results of same survey were presented. The survey data represent vague values in the form of fuzzy sets. To solve this problem we applied defuzzification methods to get the best result from survey

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Mohammadian, Masoud. "Modelling, Control and Prediction using Hierarchical Fuzzy Logic Systems." International Journal of Fuzzy System Applications 6, no. 3 (2017): 105–23. http://dx.doi.org/10.4018/ijfsa.2017070105.

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Hierarchical fuzzy logic systems are increasingly applied to solve complex problems. There is a need for a structured and methodological approach for the design and development of hierarchical fuzzy logic systems. In this paper a review of a method developed by the author for design and development of hierarchical fuzzy logic systems is considered. The proposed method is based on the integration of genetic algorithms and fuzzy logic to provide an integrated knowledge base for modelling, control and prediction. Issues related to the design and construction of hierarchical fuzzy logic systems us

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Yeşil, Gülseren, and Özlem Şahin. "AIRCRAFT SEQUENCING WITH FUZZY LOGIC METHOD." Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 26, no. 2 (2025): 161–78. https://doi.org/10.18038/estubtda.1674259.

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The growth in the demand for air transport causes an increase in air traffic. In this case, more air traffic needs to be carried out safely, regularly and quickly. It is important to correctly and fairly order the landing traffic in order to reduce the delaying, especially in the air due to heavy traffic. In this study, it is aimed to sequence the arrival traffic with fuzzy logic method. Speed, distance, altitude parameters were used for sequencing. Traffic data was collected from the Air Traffic Simulation Laboratory at Eskişehir Technical University’s Air Traffic Control Department. A compar

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Olesiak, Krzysztof. "APPLICATION OF FUZZY LOGIC TOOLBOX FOR MODELLING FUZZY LOGIC CONTROLLERS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 3 (May 26, 2017): 539. http://dx.doi.org/10.17770/sie2017vol3.2398.

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Computer technology, which has been developing very fast in the recent years, can be also fruitfully applied in teaching. For example, the software package Matlab is highly useful in teaching students at Bachelor Programs of Electrical Engineering and Automatics and Robotics. Fuzzy Logic Toolbox of the Matlab package can be used for designing and modelling controllers. Thanks to a large number of pre-defined elements available in the libraries, it is possible to create even highly complicated models of systems without much effort. Fuzzy Logic Toolbox is especially useful for exploring the basi

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Özgüney, Ömür Can. "Lqr-Fuzzy Logic Control of a Quarter Vehicle Model." Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 27, no. 79 (2025): 15–21. https://doi.org/10.21205/deufmd.2025277903.

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In this study, a new control rule was developed using two different control methods, and the results were discussed by applying the developed controller to the quarter vehicle model. A new hybrid controller was designed by considering the advantages of Fuzzy Logic control method and Linear Quadratic Regulator (LQR) control method. Control gain coefficients used in LQR controller were determined by fuzzy logic control method. The developed new controller has been applied to the quarter vehicle model. In the results, control with only Fuzzy Logic controller and developed LQR-Fuzzy Logic controll

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Precup, Radu-Emil, Marius-Lucian Tomescu, and Ștefan Preitl. "Fuzzy Logic Control System Stability Analysis Based on Lyapunov’s Direct Method." International Journal of Computers Communications & Control 4, no. 4 (2009): 415. http://dx.doi.org/10.15837/ijccc.2009.4.2457.

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A stability analysis method for nonlinear processes controlled by Takagi- Sugeno (T-S) fuzzy logic controllers (FLCs) is proposed. The stability analysis of these fuzzy logic control systems is done in terms of Lyapunov’s direct method. The stability theorem presented here ensures sufficient conditions for the stability of the fuzzy logic control systems. The theorem enables the formulation of a new stability analysis algorithm that offers sufficient stability conditions for nonlinear processes controlled by a class of T-S FLCs. In addition, the paper includes an illustrative example that desc

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Schneider, Christian, Melina Burkert, Patrik Weise, and Alexander Sauer. "Risikobewertung von Energieeffizienzmaßnahmen/Risk assessment of energy efficiency measures." wt Werkstattstechnik online 111, no. 01-02 (2021): 44–48. http://dx.doi.org/10.37544/1436-4980-2021-01-02-48.

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Das Risikomanagement von Energieeffizienzmaßnahmen ist ein bislang noch wenig betrachtetes Forschungsfeld. Daher behandelt dieser Beitrag die Risikobewertung von Energieeffizienzmaßnahmen. Bestehende Methoden zur Risikobewertung basieren unter anderem auf der Fuzzy-Logik. Ihr Vorteil ist die einfache Quantifizierung von qualitativem Expertenwissen für die Analyse der Risikostruktur. Der Beitrag nutzt die Fuzzy-Logik, um eine Methode für die Risikobewertung von Energieeffizienzmaßnahmen unter Einbeziehung von Expertenwissen zu präsentieren und ordnet diese in bestehende Ansätze zur Risikobewert

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Srivastava, Rachna, and Yogesh Pal. "Image Compression Using Fractal Dimension Based on Quadtree Fuzzy Logic Method." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 88–95. http://dx.doi.org/10.31142/ijtsrd15755.

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Salman, Afan Galih. "Pemodelan Sistem Fuzzy Dengan Menggunakan Matlab." ComTech: Computer, Mathematics and Engineering Applications 1, no. 2 (2010): 276. http://dx.doi.org/10.21512/comtech.v1i2.2349.

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Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and evolutionary computing. Fuzzy logic has the ability to develop fuzzy system that is intelligent system in uncertain environment. Some stages in fuzzy system formation process is input and output analysis, determining input and output variable, defining each fuzzy set member function, determining rules based on experience or knowledge of an expe

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Wanti, Linda Perdana, and Oman Somantri. "Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection." Journal of Information Systems Engineering and Business Intelligence 8, no. 2 (2022): 182–95. http://dx.doi.org/10.20473/jisebi.8.2.182-195.

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Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares the Mamdani fuzzy logic and Naïve Bayes in detecting dental diseases. Methods: The first is to process data on dental disease symptoms and dental support tissues based on complaints of toothache consulted with experts at a community health centre (puskesmas). The second is to apply the Mamdani fuzzy logic and the Naïve Bayes to the proposed expert system. The third is to provide recommended decisions about dental diseases based on the symptom data inputted into the expert s

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Filo, Grzegorz. "A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems." Energies 16, no. 22 (2023): 7584. http://dx.doi.org/10.3390/en16227584.

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Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics. This article summarizes the recent achievements in hydraulic and pneumatic fuzzy logic system design. First, the main application areas have been identified, including control and fault diagnosis. The control systems were additionally grouped according to the main objects of study, such as pumps, actuators, proportional valves, etc. Then, the results of the recent research were present

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Özger, Mehmet, and Mehmet Burak Kabataş. "Sediment load prediction by combined fuzzy logic-wavelet method." Journal of Hydroinformatics 17, no. 6 (2015): 930–42. http://dx.doi.org/10.2166/hydro.2015.148.

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Sediment load prediction is very important in planning, operation, and maintenance of water structures located on rivers. The sediment loads exhibit random characteristics due to the uncertain nature of sediment transportation in rivers. To predict suspended sediment load, stochastic processes, regression methods, neural network models, and fuzzy logic have been used in the literature so far. The purpose of this study was to develop a model that can make accurate predictions of suspended sediment loads. Here, a combination of wavelet and fuzzy logic techniques (WFL) is proposed as a new techni

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Park, Jong-Wook, Hwan-Joo Kwak, Young-Chang Kang, and Dong W. Kim. "Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance." Computational Intelligence and Neuroscience 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/6047906.

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An advanced fuzzy potential field method for mobile robot obstacle avoidance is proposed. The potential field method primarily deals with the repulsive forces surrounding obstacles, while fuzzy control logic focuses on fuzzy rules that handle linguistic variables and describe the knowledge of experts. The design of a fuzzy controller—advanced fuzzy potential field method (AFPFM)—that models and enhances the conventional potential field method is proposed and discussed. This study also examines the rule-explosion problem of conventional fuzzy logic and assesses the performance of our proposed A

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Anita Sindar. "IDENTIFIKASI BERITA HOAX MENGGUNAKAN FUZZY LOGIC." Jurnal Teknoif Teknik Informatika Institut Teknologi Padang 9, no. 1 (2021): 42–46. http://dx.doi.org/10.21063/jtif.2021.v9.1.42-46.

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Berita palsu dikenal dengan hoax, berasal dari sumber berita yang kebenarannya diragukan. Media sosial menjadi salah satu keberagaman informasi yang ditawarkan dan keleluasaan dalam membentuk koneksi pertemanan. Setiap orang memiliki kebebasan dalam beropini dalam lingkup sedunia. Banyaknya keuntungan yang diperoleh sipembuat berita hoax.Logika Fuzzy memiliki beberapa kelebihan dibanding logika lain. Penggunaan konsep matematis yang mendasari penalaran Logika ini dinilai sangat sederhana, sehingga mudah dimengerti. Selain itu, data-data yang belum tepat tidak akan langsung dinilai, namun diana

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Lasaraiya, Suriana, Mohd Azrul Abd Rajak, Che Haziqah Che Hussin, and Nurliyana Juhan. "A COMPARISON ON STUDENTS’ PERFORMANCE IN MATHEMATICS SUBJECT USING FUZZY LOGIC THEORY." Journal of Information System and Technology Management 7, no. 29 (2022): 86–96. http://dx.doi.org/10.35631/jistm.729007.

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The education system in Malaysia employs classical method in evaluation students’ progress performances during their foundation level. The result was obtained by adding all the assessments scored and was graded based on grade A, A-, B+, B, …, and F. Somehow, non-classical methods may be applied such as fuzzy logic, where it can be applied to many forms of decision making. This paper proposed evaluation on students’ performances by using fuzzy logic approach. The assessment score obtained based on their assignment, midterm examination and final term examination of 26 Agriscience students, in Pr

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Putra, Dwipa Junika, Nofriadi Nofriadi, and Erlinda Erlinda. "Implementation of Fuzzy Logic Using Mamdani Method to Determine The Quantity of Bag Production (Case Study In Roman Indah Padang Bag Factory)." JURNAL TEKNOLOGI DAN OPEN SOURCE 5, no. 1 (2022): 1–7. http://dx.doi.org/10.36378/jtos.v5i1.2220.

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Roman Indah bag Factory is a bag manufacturing company that receives orders from customers every month. Fuzzy Logic is used to define the production known so far, so that the preferred result can be used as a basis for manager's decision. In the calculation process, Fuzzy Logic Mamdani requires maximum and minimum production data, maximum and minimum demand data, and maximum and minimum inventory data. Fuzzy logic is able to map an input into an output without factor factors. Fuzzy logic is used to create a model of a system that is able to determine the quantity of production. the factors tha

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Li, Ye, Xiao Liu, Zhenliang Yang, et al. "Prediction Model for Geologically Complicated Fault Structure Based on Artificial Neural Network and Fuzzy Logic." Scientific Programming 2022 (March 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/2630953.

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The development and distribution of geologically complicated fault structure have the characteristics of uncertainty, randomness, ambiguity, and variability. Therefore, the prediction of complicated fault structures is a typical nonlinear problem. Neither fuzzy logic method nor artificial neural network alone can solve this problem well because the fuzzy method is generally not easy to realize adaptive learning function, and the neural network method is not suitable for describing sedimentary microfacies or geophysical facies. Therefore, taking the marginal subsags in the Jiyang Depression, Ea

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Lee-Kwang, Hyung, and Ju-Jang Lee. "Fuzzy Logic and Intelligence System." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 5 (2000): 319–20. http://dx.doi.org/10.20965/jaciii.2000.p0319.

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These papers are originally published in the proceedings of Korea fuzzy logic and intelligent systems society (KFIS) fall conference in 1999. Eight papers are selected for this special issue. Major topics of them are fuzzy theory, neural network, inference system, intelligent controller, etc. In this issue, Seihwan Park and Hyung Lee-Kwang extend the concept of fuzzy hypergraph to type-2 fuzzy hypergraph using type-2 fuzzy sets. It has not only the same properties of hypergraphs but also the extended properties of them. It is also shown that interval valued fuzzy hypergraph is a special case o

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Et. al., Ritu,. "Software Quality Prediction Method Using Fuzzy Logic." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 11 (2021): 807–17. http://dx.doi.org/10.17762/turcomat.v12i11.5966.

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: Software Quality is the key priority of today’s marketplace and software development organization to which a system, technique, or factor meets particular requirements and conditions. Soft computing techniques play a vital role in developing software engineering applications. In this paper, we have identified five parameters: Reliability, Efficiency, Usability, Maintainability, and Portability for accessing the level of quality of software. A fuzzy logic-based intelligent identification methodology has been proposed to access the quality of particular software-based on five parameters. The p

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Wardhana, Made Dandy, Aghus Sofwan, and Iwan Setiawan. "Fuzzy Logic Method Design for Landslide Vulnerability." E3S Web of Conferences 125 (2019): 03004. http://dx.doi.org/10.1051/e3sconf/201912503004.

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Landslide is one of the most frequently happened disasters in Indonesia due to weather and climate characteristics, regional topography, and geological structures that make this country have many potential landslide areas. The main goal of this study is to apply fuzzy logic to the landslide detection sensor so that it is easier to find out areas prone to landslides. The fuzzy logic method uses five parameters to analyze the landslide area. These parameters are rainfall, land slope, moisture content in two different soil depths, and ground vibration. They are used to determine the vulnerability

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Vianita, Etna, Heru Tjahjana, and Titi Udjiani. "PERAMALAN PRODUKSI KARET INDONESIA MENGGUNAKAN FUZZY TIME SERIES DUA FAKTOR ORDE TINGGI RELASI PANJANG BERDASARKAN RASIO INTERVAL." Majalah Ilmiah Matematika dan Statistika 22, no. 1 (2022): 50. http://dx.doi.org/10.19184/mims.v22i1.30414.

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The fuzzy time series method for forecasting continues to develop over time. This research discusses fuzzy time series, which considers two factors for high order using interval partitioning based on interval ratio with long relation construction for getting different accuracy in forecasting between combination method and existing method. The first step is the formation of the universe of speech. Second, divide the universe of discourse into several intervals using interval ratios. Third, fuzzification. Fourth, build fuzzy logic relations and fuzzy logic relation groups, and fifth, defuzzifica

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Wardoyo, Retantyo, and Wenty Dwi Yuniarti. "Analysis of Fuzzy Logic Modification for Student Assessment in e-Learning." IJID (International Journal on Informatics for Development) 9, no. 1 (2020): 29. http://dx.doi.org/10.14421/ijid.2020.09105.

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The phenomenon of the rapid transfer of learning to online systems, such as e-Learning, has occurred massively. Institutions must ensure that student assessments run well. The characteristics of learning in e-Learning require an appropriate assessment method. The fuzzy logic method can be an option. Research shows that fuzzy logic is capable of providing flexible and objective performance evaluation. Fuzzy logic is a method that can overcome the uncertainty of transparency and objectivity of student assessments. In general, fuzzy logic applications are carried out by standards. Modification is

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Yacob, Suhaila, Mohd Amran Md Ali, Qumrul Ahsan, Nurulhuda Arifin, and Rafidah Ali. "A brief review of grey fuzzy logic technique research progression from 2010 to 2016." International Journal of Engineering & Technology 7, no. 2.29 (2018): 41. http://dx.doi.org/10.14419/ijet.v7i2.29.13125.

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Grey fuzzy logic method is a new artificial intelligent method that can make significant improvement in the performance characteristics of the process. In the present study an attempt has been made to provide a brief understanding of the advancement of the Grey Fuzzy Logic from 2010 to 2016. The first half of this paper presents the publication trend of Grey Fuzzy Logic. The remaining of this paper briefly explains the contribution of the individual publication related to Grey Fuzzy Logic. It is believed that this paper will greatly benefit the reader who needs a bird-eyes view of the Grey Fuz

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Sugiyarto, Sugiyarto, Joko Eliyanto, Nursyiva Irsalinda, Zhurwahayati Putri, and Meita Fitrianawat. "A Fuzzy Logic in Election Sentiment Analysis: Comparison Between Fuzzy Naïve Bayes and Fuzzy Sentiment using CNN." JTAM (Jurnal Teori dan Aplikasi Matematika) 5, no. 1 (2021): 110. http://dx.doi.org/10.31764/jtam.v5i1.3766.

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Sentiment analysis is an analysis with an objective to identify like, dislike, comments, opinion, or feedback on certain content which will be categorized into positive, negative, or neutral. In general selection, sentiment analysis widely known to be used to predict the winner on election process. This method tries to dig the people sentiment on their governor candidates during election, whether it’s positive, negative, or neutral opinion. The output of the positive sentiment is related to people acceptance towards one of the election nominee. That statement usually applied as a base referenc

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Peng, Ming Long, Xin Rong Liang, Chao Jun Dong, and Yan Yan Liu. "Freeway Traffic Congestion Identification Based on Fuzzy Logic Inference." Applied Mechanics and Materials 397-400 (September 2013): 2227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2227.

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Traffic congestion detection is the basis of dynamic traffic control and real time guidance. This study proposes a fuzzy logic based traffic congestion identification method. The components of a fuzzy logic inference are firstly formulated. According to such information as the speed and occupancy of freeway traffic flow, and the weather conditions on the freeway, a congestion identification method based on fuzzy logic inference is then designed. Gauss curves are assumed for the membership functions of the input and output variables, and 45 fuzzy rules are also established. Finally, the congest

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Rohman, Abdul, Tri Hastono, and Andri Prisda Tyaka. "Application of the Fuzzy Mamdani Method for Predicting Rainfall in the City of Yogyakarta." Jurnal Publikasi Ilmu Komputer dan Multimedia 3, no. 1 (2024): 47–59. http://dx.doi.org/10.55606/jupikom.v3i1.2544.

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Weather and climate play an important role in everyday life, influencing various aspects of society and the environment. The city of Yogyakarta as a cultural center cannot be separated from the impacts of climate change, including rainfall patterns which can have significant effectiveness on daily activities, agriculture and infrastructure. This research uses a fuzzy logic methodology approach with the Mamdani method to predict rainfall. Fuzzy logic has proven to be effective in cold situations and is able to overcome the challenges of missing or incomplete data. The data used in this research

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Iancu, Ion, Nicolae Constantinescu, and Mihaela Colhon. "Fingerprints Identification using a Fuzzy Logic System." International Journal of Computers Communications & Control 5, no. 4 (2010): 525. http://dx.doi.org/10.15837/ijccc.2010.4.2510.

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This paper presents an optimized method to reduce the points number to be used in order to identify a person using fuzzy fingerprints. Two fingerprints are similar if n out of N points from the skin are identical. We discuss the criteria used for choosing these points. We also describe the properties of fuzzy logic and the classical methods applied on fingerprints. Our method compares two matching sets and selects the optimal set from these, using a fuzzy reasoning system. The advantage of our method with respect to the classical existing methods consists in a smaller number of calculations.

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Yazdani, Hossein. "Bounded Fuzzy Possibilistic Method." Fuzzy Sets and Systems 389 (June 2020): 51–65. http://dx.doi.org/10.1016/j.fss.2019.07.011.

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Jarrett, Jeffrey E., and Jeffrey S. Plouffe. "The Fuzzy Logic Method for Simpler Forecasting." International Journal of Engineering Business Management 3 (January 2011): 18. http://dx.doi.org/10.5772/50939.

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Rizianiza, I., and D. M. Shoodiqin. "Automatic braking system using fuzzy logic method." Journal of Physics: Conference Series 1833, no. 1 (2021): 012005. http://dx.doi.org/10.1088/1742-6596/1833/1/012005.

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Karakaya, Suat, and Hasan Ocak. "Fuzzy logic-based moving obstacle avoidance method." Global Journal of Computer Sciences: Theory and Research 9, no. 1 (2019): 1–9. http://dx.doi.org/10.18844/gjcs.v9i1.3972.

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In this study, a fuzzy logic-based collision avoidance method is studied. Mobile robots operating in a dynamic environment may encounter moving obstacles. The distance from the obstacles to the robot is provided as a control input. The change of distance is provided as the secondary input. The output speed value is expressed as ‘stop’, ‘very slow’, ‘slow’, ‘medium’ and ‘fast’, respectively. Each of these expressions has an exact numerical value, but it depends on the inputs and the rule base, and therefore the numerical values belong to the variable ratios. The input parameters do not have an

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Palanikkumar, D., Kamal Upreti, S. Venkatraman, J. Roselin Suganthi, Sridharan Kannan, and S. Srinivasan. "Fuzzy Logic for Underground Mining Method Selection." Intelligent Automation & Soft Computing 32, no. 3 (2022): 1843–54. http://dx.doi.org/10.32604/iasc.2022.023350.

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Rosdiana, Rosdiana, Arnawan Hasibuan, Anggi Chairani, Muhammad Daud, and Muhammad Sayuti. "Stress Diagnosis System Using Fuzzy Logic Method." MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 4, no. 3 (2022): 355–66. http://dx.doi.org/10.46574/motivection.v4i3.162.

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Stress is a response from within the body due to pressure in life that causes fear and anxiety. In previous studies, researchers only used 2 sensors, namely the Pressure sensor (MPX5500DP) and the Temperature Sensor (LM35). The purpose of this research is to develop measurement instrumentation from previous research. This study uses 3 sensors, namely the DS18B20 temperature sensor (oC), pulse sensor (bpm), and the Galvanic Skin Response (GSR) sensor. The method used is the Sugeno fuzzy logic method as parameter measurement and LCD as data display. Media intermediary data transmission using wi-

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I. Ismagilov, Ilyas. "Security Risk Assessment Method Using Fuzzy Logic." HELIX 8, no. 6 (2018): 4674–82. http://dx.doi.org/10.29042/2018-4674-4682.

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Eker, İlyas, and Yunis Torun. "Fuzzy logic control to be conventional method." Energy Conversion and Management 47, no. 4 (2006): 377–94. http://dx.doi.org/10.1016/j.enconman.2005.05.008.

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Morishita, Takeshi, and Osamu Tojo. "Integer inverse kinematics method using Fuzzy logic." Intelligent Service Robotics 6, no. 2 (2012): 101–8. http://dx.doi.org/10.1007/s11370-012-0115-1.

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Pratama, Ari Rizki, Delano Ariesagita Hutagalung, Wali Siregar, and Hendra Sihombing. "Monitoring patient health based on medical records using fuzzy logic method." SinkrOn 3, no. 2 (2019): 20. http://dx.doi.org/10.33395/sinkron.v3i2.10014.

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The Fuzzy Logic concept was first introduced by Prof. Lotfi Zadeh from the University of California at Berkeley in 1965, and presented not as a control methodology, but as a way of processing data by allowing the use of partial set membership compared to the crisp set membership or non-membership. Along with the development of computer technology, the concept of fuzzy logic is increasingly needed by people, because this concept is able to provide information needed in the decision making process. This study aims to analyze and design intelligent systems to monitor the health development of inp

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Aji, Bayu, and Sutikno Sutikno. "Fuzzy Logic Algorithm of Sugeno Method for Controlling Line Follower Mobile Robot." ILKOM Jurnal Ilmiah 15, no. 2 (2023): 283–89. http://dx.doi.org/10.33096/ilkom.v15i2.1558.283-289.

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The industrial world has been increasingly using robots for production purposes. One type of robot used is a line follower robot for the purposes of transportation of production materials. Various researches and competitions of line follower robots were held to improve its performance. This study proposed a fuzzy logic algorithm using Sugeno method for a line follower mobile robot. This algorithm received input from the readings of 8 sensors mounted on the bottom of the robot and generated the speed of each left and right motor. This speed was used to keep the robot on track. The performance o

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Ma, Zhanyou, Zhaokai Li, Weijun Li, Yingnan Gao, and Xia Li. "Model Checking Fuzzy Computation Tree Logic Based on Fuzzy Decision Processes with Cost." Entropy 24, no. 9 (2022): 1183. http://dx.doi.org/10.3390/e24091183.

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In order to solve the problems in fuzzy computation tree logic model checking with cost operator, we propose a fuzzy decision process computation tree logic model checking method with cost. Firstly, we introduce a fuzzy decision process model with cost, which can not only describe the uncertain choice and transition possibility of systems, but also quantitatively describe the cost of the systems. Secondly, under the model of the fuzzy decision process with cost, we give the syntax and semantics of the fuzzy computation tree logic with cost operators. Thirdly, we study the problem of computatio

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Qu, Zhengyang, and Jun Li. "Short-term Traffic Flow Forecast on Basis of PCA- Interval Type-2 Fuzzy System." Journal of Physics: Conference Series 2171, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2171/1/012051.

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Abstract According to the time series of urban traffic flow, a prediction method on basis of type-2 fuzzy logic is proposed under the theoretical framework of fuzzy logic. The prediction model of the interval type-2 fuzzy system is established, and the BP algorithm is used to adjust the coefficients of the antecedent and consequent of fuzzy rules. In this paper, the algorithm is verified by the measured data of road network, and compared with other fuzzy methods, BP algorithm and support vector machine (SVM) According to the experimental data that type-2 fuzzy logic system has higher predictio

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Nur, Akbar. "The Effect of Neighboring Cells on Handover Decision Making Based on Fuzzy in the WCDMA Network." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 5, no. 2 (2017): 52–58. http://dx.doi.org/10.33795/jartel.v5i2.205.

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In channel transfer (handover) from one Base Station to another Base Station. The purpose of this final project is to analyze the effect of neighboring cells on handover decisions on WCDMA networks based on fuzzy, in this handover process, handover decisions use several parameters related to handovers and supported by fuzzy logic. Relatively high user mobility demands a guarantee until the use of the service ends, the impact of user mobility results in the output being analyzed for this handover decision to help give consideration to the optimal handover decision. The method used is Tsukamoto

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Çitci, Aykut, and Fatih Kezer. "Scoring open-ended items using the fuzzy topsis method and comparing it with traditional approaches." International Journal of Assessment Tools in Education 11, no. 2 (2024): 406–23. http://dx.doi.org/10.21449/ijate.1373629.

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This study investigates the application of the fuzzy logic method for scoring open-ended items, specifically comparing its effectiveness against traditional scoring methods. Utilizing the fuzzy TOPSIS method within the mathematics domain, this research established seven criteria for evaluating open-ended responses, developed in consultation with three experts. Due to constraints imposed by the pandemic, the study did not proceed with a real-world application; instead, it simulated data for 25 students to compare the rankings derived from traditional and fuzzy logic methods using the MS Excel p

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Čičak, Josip, and Davor Vašiček. "Determining the Level of Accounting Conservatism through the Fuzzy Logic System." Business Systems Research Journal 10, no. 1 (2019): 88–101. http://dx.doi.org/10.2478/bsrj-2019-0007.

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Abstract Background: Using a variety of alternative accounting policies brings about different effects on the stated business results and the value of the company. Objectives: The objective of this paper is to develop a fuzzy logic solution for determining bias in financial reports on low-activity financial markets, and to find a method applicable to unquoted entities. Methods/Approach: A fuzzy logic system was developed using data on Croatian companies, the MatLab software, and the Mamdani fuzzy inference method. Results: The paper provides the summary of results obtained using a fuzzy logic

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Ade Riyanti, Arda Dwiyana, Danar Restu Firdaus, et al. "Implementing Fuzzy Logic to Forecast Electricity Usage Costs." Journal of Applied Science, Technology & Humanities 2, no. 2 (2025): 171–84. https://doi.org/10.62535/r6ygb628.

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Electricity has a very vital role in human life, being a form of energy that is inseparable from various aspects of daily activities. The greater the use of electricity will have an impact on increasing the cost of electricity use. By applying fuzzy logic methods, research focuses on understanding the efficiency of electrical power use, identifying key factors that affect efficiency at the household level. This study aims to apply the Mamdani method in fuzzy logic to predict the cost of electricity consumption and measure the level of accuracy of the implementation of fuzzy logic. The variable

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Devita, Retno, and Sarjon Defit. "Accurately Determining Labor Test Results Using the Rough Set Method." Jurnal Penelitian Pendidikan IPA 10, no. 4 (2024): 1723–30. http://dx.doi.org/10.29303/jppipa.v10i4.7069.

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An exam is something that must be done to test a person's ability or intelligence. The laboratory exam in the Computer Systems study program at Putra Indonesia University "YPTK" Padang consists of a digital systems exam, a fuzzy logic control exam, and a tool presentation. The Labor Exam must be passed by students who will take the comprehensive exam. In this study, laboratory exam data was taken for 20 students. So far, processing of student laboratory exam results has been done manually so it takes a long time to make decisions. To overcome this problem, a Rough Set method is used to determi

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Doğan, Murat. "Enhancing Culinary Operations Through Fuzzy Logic: A Case Study in the Catering Industry." Turkish Journal of Agriculture - Food Science and Technology 12, s2 (2024): 2306–16. https://doi.org/10.24925/turjaf.v12is2.2306-2316.7042.

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This study aimed to analyze the business impact of the catering sector using the fuzzy logic method. The research was conducted at a catering company in Istanbul, utilizing document review and participant observation methods to evaluate the business impact. The nominal prioritization method was used to identify critical business processes, and a model along with a mathematical formula was developed for calculating the business impact. The Fuzzy Logic Designer Toolbox in MATLAB was utilized for this calculation. The study identified eight critical business processes: (1) material supply, (2) ma

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Petrenko, Yuri, and Vladislav Lemish. "THE TECHNOLOGY OF CHOOSING CNC MACHINE CONTROL METHOD UNDER UNCERTAINTY." Bulletin of Kharkov National Automobile and Highway University 1, no. 92 (2021): 97. http://dx.doi.org/10.30977/bul.2219-5548.2021.92.0.97.

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Problem. A big market saturation makes very hard finding for optimal solution for manufacture, besides you’ve to take look not only at CNC machines and its parameters but also at CNC machine control methods. By CNC machine control methods means methods for creating controlling programs. The main methods are manual programming, programming by CNC stand, programming with CAD/CAM systems. Goal. The goal of the paper is to ease choosing the CNC machine control method by developing the technology of choosing the CNC machine control method under uncertainty. Methodology. The article has categorized

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Putra, I. Nyoman Dita Pahang, I. Gede Susrama Mas Diyasa, Anak Agung Diah Parami Dewi, and Bambang Trigunarsyah. "Maintenance Scheduling for Buildings Using Fuzzy Logic Application." Lontar Komputer : Jurnal Ilmiah Teknologi Informasi 16, no. 1 (2025): 53. https://doi.org/10.24843/lkjiti.2025.v16.i01.p05.

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This research proposes an innovative approach to building maintenance scheduling using fuzzy logic. Fuzzy logic addresses uncertainty and complexity in decision-making processes concerning prioritizing and scheduling maintenance tasks. This study aims to enhance the efficiency of maintenance scheduling, reduce maintenance costs, and consider the variability in building conditions. Traditional methods, such as PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method), have limitations in accurately predicting scheduling times. At the same time, fuzzy logic offers a more prec

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Mohammadian, Masoud. "Design of Self-Learning Hierarchical Fuzzy Logic for Guidance and Control of Multirobot Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 6 (1999): 446–50. http://dx.doi.org/10.20965/jaciii.1999.p0446.

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Increased application of fuzzy logic to complex control raises a need for a structured methodological approach to developing fuzzy logic systems, which are currently developed based on individualistic bases and cannot face the challenge of interacting with other (fuzzy) systems in a dynamic environment. We propose designing self-learning hierarchical fuzzy logic control based on the integration of evolutionary algorithms and fuzzy logic to provide an integrated knowledge base for intelligent control and collision avoidance among multiple robots. Robots are considered point masses moving in com

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