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Journal articles on the topic 'Mamdany's fuzzy inference'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Damayanti, Dela Rista, Suntoro Wicaksono, M. Faris Al Hakim, Jumanto Jumanto, Subhan Subhan, and Yahya Nur Ifriza. "Rainfall Prediction in Blora Regency Using Mamdani's Fuzzy Inference System." Journal of Soft Computing Exploration 3, no. 1 (2022): 62–69. http://dx.doi.org/10.52465/joscex.v3i1.69.

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In the case study of weather prediction, there are several tests that have been carried out by several figures using the fuzzy method, such as the Tsukamoto fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS), Time Series, and Sugeno. And each method has its own advantages and disadvantages. For example, the Tsukamoto fuzzy has a weakness, this method does not follow the rules strictly, the composition of the rules where the output is always crisp even though the input is fuzzy, ANFIS has the disadvantage of requiring a large amount of data. which is used as a reference for calculating data p

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Borisovich Vilkov, Valeriy, Andrey Klimentevich Chernykh, Igor Gennadevich Malygin, Yuriy Dmitrievich Motorygin, and Alexandr Vladimirovich Skripka. "The elimination of the consequences of transport emergencies." Nexo Revista Científica 34, no. 06 (2021): 1677–88. http://dx.doi.org/10.5377/nexo.v34i06.13128.

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The problem of multicriteria optimization in relation to the decisions made about organizing the material and technical support for equipment and personnel of the Ministry of the Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters (EMERCOM of Russia) in the context of emergency response on transport has been explored in this article. The existing approaches have been indicated, and another approach to building a single generalized criterion by the given partial criteria for the multicriteria optimization problem has been proposed. The verbal s

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Ponce, Hiram, Pedro Ponce, and Arturo Molina. "Artificial Hydrocarbon Networks Fuzzy Inference System." Mathematical Problems in Engineering 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/531031.

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This paper presents a novel fuzzy inference model based on artificial hydrocarbon networks, a computational algorithm for modeling problems based on chemical hydrocarbon compounds. In particular, the proposed fuzzy-molecular inference model (FIM-model) uses molecular units of information to partition the output space in the defuzzification step. Moreover, these molecules are linguistic units that can be partially understandable due to the organized structure of the topology and metadata parameters involved in artificial hydrocarbon networks. In addition, a position controller for a direct curr

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Rizal, Farhan Syah, Lita Karlitasari, and Halimah Tus Sadiah. "EXPERT SYSTEM DIAGNOSES VARICOCHEL DISEASE USING MAMDANI'S FUZZY LOGIC ALGORITHM METHOD." Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 21, no. 2 (2024): 44–54. http://dx.doi.org/10.33751/komputasi.v21i2.9810.

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Varicoceles form when valves in the veins that run along the spermatic cord (the structure that suspends the testicles in the scrotum) prevent blood from flowing properly. Most varicocele cases occur during puberty, from the age of 15 to 25 years. If there are symptoms that are not prolonged, treatment is not necessary. However, if a varicocele causes pain, shrinkage of the testicles, impaired fertility, or swelling, surgery will be performed. Symptoms of this disease are similar to hemorrhoids and bladder stones, so it takes an expert. In the research conducted on the Expert System Applicatio

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E. Kizito, Anazia, Emmanuel Ojei, and M. D. Okpor. "A Fuzzy Logic-Based Automobile Fault Detection System Using Mamdani Algorithm." International Journal of Scientific Research and Management (IJSRM) 12, no. 03 (2024): 1081–93. http://dx.doi.org/10.18535/ijsrm/v12i03.ec06.

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Due to advancement and complexity of modern automobiles, fault detection has gone beyond manual or trial by error methods. The fault detection technologies in automotive industry is used to identify any potential or already existing fault in automobiles. Faults in automobiles are usually mechanical or electrical faults that may include airbag control unit, radiator, gearbox, transmission control unit, tyre pressure, brakes, air conditioner, cylinder casket, alternator, hubs malfunctions etc. Each fault has a specific or related sign and symptoms. There are several methods of fault detections i

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Hu, Qingqing, and Xiaohong Zhang. "Three-Way Fuzzy Sets and Their Applications (III)." Axioms 12, no. 1 (2023): 57. http://dx.doi.org/10.3390/axioms12010057.

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Three-way fuzzy inference is the theoretical basis of three-way fuzzy control. The proposed TCRI method is based on a Mamdani three-way fuzzy implication operator and uses one inference and simple composition operation. In order to effectively improve the TCRI method, this paper proposes a full implication triple I algorithm for three-way fuzzy inference and gives the triple I solution to the TFMP problem. The emphasis of our research is R0 and Go¨del triple I solution, which is related to three-way residual implication, as well as Zadeh’s and Mamdani’s triple I solution, which is based on thr

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Sutapa, I. Nyoman, and Magdalena Wullur. "The Measurement Model of Tourism Destination Images Using Fuzzy Inference System." Petra International Journal of Business Studies 1, no. 2 (2018): 106–12. http://dx.doi.org/10.9744/ijbs.1.2.106-112.

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The article discusses the measurement model of tourism destination images perceived by travellers based on five dimensions of the service quality, i.e. tangibles, reliability, responsiveness, empathy, and assurance. Measurement problems occur when a traveller assesses the quality of a tourism destination service subjectively with vague boundaries and perceives the image of a tourism destination to vary. To address these issues, we designed an inference model using Mamdani's fuzzy inference system. The results of this study are quantitative assessments of the image of tourism destinations by va

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Paika, Er Vishal, and Er Pankaj Bhambri. "Edge Detection Fuzzy Inference System." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 4, no. 1 (2013): 148–55. http://dx.doi.org/10.24297/ijmit.v4i1.811.

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In this paper a method has been developed for automatic edge detection of an digital image. An edge is made up of those pixels at which there is an abrupt change in the intensity. These pixels are known as edge pixels and are connected to give an edge. In this paper we have developed a mamdanis fuzzy inference system in MATLAB 2008 using fuzzy logic tool box. A smallest possible 2X2 window is used as a scanning mask. Mask slides over the whole image pixel by pixel, first horizontally in topmost horizontal line then after reaching at the end of line, it increments to check the next vertical loc

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Tiara Safitrah, Divo Wibowo Adi, Irfan Tigranaufal Nugraha, et al. "Mamdani's Fuzzy Logic-Based Tapioca Optimal Production Amount Prediction System." Journal of Applied Science, Technology & Humanities 1, no. 3 (2024): 265–79. http://dx.doi.org/10.62535/ws0haa49.

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This research focuses on the imbalance between supply and demand in the tapioca industry, especially on the scale of Small and Medium Industries (SMI). Such challenges involve price fluctuations and lack of efficiency in determining the optimal production amount. Using fuzzy logic as an artificial intelligence method, this research aims to develop a system for predicting the optimal amount of tapioca production that can increase efficiency, reduce waste of raw materials and energy, and stabilize prices. The data used in this study was obtained through interviews with resource persons who are i

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Nascimento, Luiz Fernando C., and Neli Regina S. Ortega. "Fuzzy linguistic model for evaluating the risk of neonatal death." Revista de Saúde Pública 36, no. 6 (2002): 686–92. http://dx.doi.org/10.1590/s0034-89102002000700005.

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OBJECTIVE: To introduce a fuzzy linguistic model for evaluating the risk of neonatal death. METHODS: The study is based on the fuzziness of the variables newborn birth weight and gestational age at delivery. The inference used was Mamdani's method. Neonatologists were interviewed to estimate the risk of neonatal death under certain conditions and to allow comparing their opinions and the model values. RESULTS: The results were compared with experts' opinions and the Fuzzy model was able to capture the expert knowledge with a strong correlation (r=0.96). CONCLUSIONS: The linguistic model was ab

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Ferreira, Leandro, Tadayuki Yanagi Junior, Wilian Soares Lacerda, and Giovanni Francisco Rabelo. "A fuzzy system for cloacal temperature prediction of broiler chickens." Ciência Rural 42, no. 1 (2012): 166–71. http://dx.doi.org/10.1590/s0103-84782012000100027.

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Cloacal temperature (CT) of broiler chickens is an important parameter to classify its comfort status; therefore its prediction can be used as decision support to turn on acclimatization systems. The aim of this research was to develop and validate a system using the fuzzy set theory for CT prediction of broiler chickens. The fuzzy system was developed based on three input variables: air temperature (T), relative humidity (RH) and air velocity (V). The output variable was the CT. The fuzzy inference system was performed via Mamdani's method which consisted in 48 rules. The defuzzification was

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Surorejo, Sarif, Ahadan Fauzan Mutaqin, Rifki Dwi Kurniawan, and Gunawan Gunawan. "Implementation of fuzzy mamdani method in predicting cayenne chili prices in Tegal Regency." Journal of Intelligent Decision Support System (IDSS) 7, no. 2 (2024): 137–45. http://dx.doi.org/10.35335/idss.v7i2.231.

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This study investigates the application of Fuzzy Mamdani's method in predicting the price of cayenne pepper in Tegal Regency, one of the important agricultural commodities that has significant economic implications. This study aims to develop an accurate and reliable cayenne pepper price prediction model in Tegal Regency using the fuzzy Mamdani method. Research methods include collecting historical data on cayenne pepper prices, cayenne pepper production, and rainfall, as well as the implementation of the Mamdani fuzzy method consisting of fuzzification, inference, and defuzzification using Py

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Mada, Grandianus Seda, Maria Julieta Esperanca Naibili, Siprianus Septian Manek, Estevania Daonce Mau, and Wasim Raza. "Application of Mamdani’s Fuzzy Inference System in the Diagnosis of Pre-eclampsia." Jurnal Varian 7, no. 1 (2023): 1–14. http://dx.doi.org/10.30812/varian.v7i1.2764.

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Pre-eclampsia is the second of the top three causes of death in pregnant women after bleeding and followed by infection. By knowing the risk factors, early detection of pre-eclampsia in pregnant womenneeds to be done so that later it can be treated more quickly to prevent further complications. This studyaims to design a practical application of a decision-making system for the diagnosis of pre-eclampsia inpregnant women using the Fuzzy Inference System (FIS) method so it can be used efficiently and effectively for the early diagnosis of pre-eclampsia. The method used in data analysis is the F

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Hidayat, Muhammad Ayat, and Suriandi Jayakrista. "Smart Pet Feeder on Cat Food Portions Using Mamdani's Fuzzy Logic Inference System Method." Journal of Computer Engineering, Electronics and Information Technology 2, no. 1 (2023): 13–28. http://dx.doi.org/10.17509/coelite.v2i1.56926.

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This is a system that can help cat owners provide the right amount of food for their cats. This system uses the Mamdani fuzzy logic inference system method which can process input in the form of information about the cat's body weight and make a decision about the amount of food to be given to the cat. This system is integrated with a smart pet feeder called FoodyPet which can dispense food according to the decision made by the system. By using this system, cat owners can easily provide the right amount of food for their cats and maintain their cat's health. In addition, this system can also h

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Patil, Vinod H., Jyoti Dhanke, Mahmoud Abou Ghaly, et al. "A Novel Approach for Crop Selection and Water Management using Mamdani’s Fuzzy Inference & IOT." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 62–68. http://dx.doi.org/10.17762/ijritcc.v11i9.8320.

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In the modern world, technology is always evolving to replace more human labour with artificial intelligence. Moreover, farmers are under constant pressure to irrigate their farms at regular intervals without even a rudimentary grasp of the rainfall pattern and soil humidity, since it is extremely difficult to cultivate any agricultural food in regions with irregular rainfall patterns and high mean temperatures. This paper proposes a crop predictor and smart irrigation system using Mamdani’s fuzzy inference and IoT. The system aims to optimize water usage and crop yield by considering va

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Priyanto, Agoes, Mohammad Javad Nekooei, and Jaswar. "Design Online Artificial Gain Updating Sliding Mode Algorithm: Applied to Internal Combustion Engine." Applied Mechanics and Materials 493 (January 2014): 321–26. http://dx.doi.org/10.4028/www.scientific.net/amm.493.321.

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This paper presents an online Artificial Fuzzy sliding Gain Scheduling Sliding Mode Control (AFSGSMC) design and its application to internal combustion (IC) engine high performance nonlinear controller in the presence of uncertainties and external disturbance. The fuzzy online tune sliding function in fuzzy sliding mode controller is based on Mamdanis fuzzy inference system (FIS) and it has multi input and multi output. The input represents the function between sliding function, error and the rate of error. The output represents the dynamic estimator to estimate the nonlinear dynamic equivalen

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Emelianov, S. G., M. V. Bobyr, and B. A. Bondarenko. "Fuzzy-logic Color Recognition System Using a Fast Defuzzifier." Proceedings of the Southwest State University 26, no. 4 (2023): 103–16. http://dx.doi.org/10.21869/2223-1560-2022-26-4-103-116.

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Purpose of research. The research presented in this article is aimed at improving the accuracy of determining the color shade. The developed fuzzy-logical color recognition system was used as the subject of the study. The efficiency indicator was the result of calculating the sensitivity area percentage and RMSE of the developed method.Methods. A method based on fuzzy logic has been developed and implemented, namely, on the structure of Mamdani's fuzzy inference, which consists of the following stages: fuzzification, fuzzy logical inference, defuzzification. Triangular membership functions wer

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Akinyokun, Oluwole Charles, Emem Etok Akpan, and Udoinyang Godwin Inyang. "Design of a hybrid intelligent system for the management of flood disaster risks." Artificial Intelligence Research 8, no. 1 (2019): 14. http://dx.doi.org/10.5430/air.v8n1p14.

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The frequency of occurrence and intensity of floods is a huge threat to environment, human existence, critical infrastructure and economy. Flood risk assessments depend on probabilistic approaches and suffer from non-existence of appropriate indices of acceptable risk, dearth of information and pieces of knowledge for explicit view and understanding of the characteristics and severity level of flood hazard. This paper proposes a hybridized intelligent framework comprising fuzzy logic (FL), neural network and genetic algorithm for clustering and visualization of flood data, prediction and class

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Anwar, Saiful, Ziani Said, and Muhammad Imam Dinata. "Fuzzy Technology Design for Early Detection of Diseases in Tobacco Plants." International Journal of Health and Information System 1, no. 1 (2023): 27–39. http://dx.doi.org/10.47134/ijhis.v1i1.8.

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Tobacco is an agricultural product that uses leaves to be processed into pesticides, medicines and cigarettes. Tobacco quality is determined by plant maintenance and reduced pest and disease attacks. To avoid these disturbances, control is needed quickly, precisely and accurately so that the tobacco plant disease cannot spread throughout agricultural land. In making fuzzy, diseases and symptoms in tobacco plants are used as a rule base in making a fuzzy expert system. The expert system created in this research is an expert system using the concept of fuzzy logic to diagnose tobacco plant disea

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Tawfeeq, Nada N., and Sawsan D. Mahmood. "Communication system improvement with control performance based on link quality in wireless sensor actuator networks." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5089. http://dx.doi.org/10.11591/ijece.v11i6.pp5089-5098.

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<span lang="EN-US">New communication and networking paradigms started with wireless sensor actuator networks (WSANs) to introduce new applications. One of these is the automatic gain control system (AGC). It will enable a high degree of the decentralized and mobile control. In this study, neural networks (NN) with fuzzy logic (one of the techniques of artificial intelligence (AI)) is used to enhance the control performance depending on the link quality. The NN and fuzzy inference system (FIS) with Mamdani’s method used to build a model reference, adaptive controller, for recompensing for

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Lomazov, V. A., A. V. Lomazov, O. A. Ivashchuk, O. S. Akupiyan, and E. V. Nesterova. "Intellectual support for the analysis of the implementation of innovative development programs of the regional agro-industrial cluster." IOP Conference Series: Earth and Environmental Science 839, no. 2 (2021): 022068. http://dx.doi.org/10.1088/1755-1315/839/2/022068.

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Abstract The paper is devoted to the problems of using modern digital technologies to manage the implementation of programs for the development of the regional economy’s agro-industrial cluster. An approach based on the use of intelligent (knowledge-oriented) information systems for analyzing the progress of program implementation is proposed. As a model for representing knowledge about the subject area, it is proposed to use the apparatus of the linguistic variable theory and fuzzy production rules, which makes it possible to take into account the high level of uncertainty inherent in the agr

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Kolisko, Pavel. "Bike Trail Difficulty Rating in the South Moravian Region Modelled Using Fuzzy Sets." Geoinformatics FCE CTU 11 (December 28, 2013): 5–24. http://dx.doi.org/10.14311/gi.11.1.

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The fuzzy sets are more suitable for modelling of the vagueness than the classical crisp sets. They present vague phenomenon and relations which are not exactly bounded but they are associated with their verbal expression. Inaccuracies of characteristics of the bike trail difficulty are connected to the area changes and it is necessary to evaluate and update them regularly. The analysis is solved by the compositional rule of inference methods especially by Mamdani’s and Larsen’s method. The difficulty is the result of rules processing with verbal variables for the type of road and slope. The s

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Jurnal, Redaksi Tim. "IMPLEMENTASI LOGIKA FUZZY UNTUK SISTEM OTOMATISASI PENGATURAN PENGISIAN BATERE PEMBANGKIT LISTRIK TENAGA SURYA." Energi & Kelistrikan 9, no. 2 (2018): 111–19. http://dx.doi.org/10.33322/energi.v9i2.41.

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Solar power plants (PLTS) as power plants that use solar rays to generate electrical energy have a big role in reducing the burden of reducing CO2 emissions. Electrical energy generated by solar panels in the form of direct current (DC / direct current) low voltage. This electrical energy will be collected and stored in a battery (accumulator / battery) through a battery charging controller or so-called solar charge controller that serves as a controller charging process so that the voltage and current are filled to the battery does not exceed the ability batteries or overcharge. This research

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Xiao, Jie, Bohdan T. Kulakowski, and Moustafa EI-Gindy. "Prediction of Risk of Wet-Pavement Accidents: Fuzzy Logic Model." Transportation Research Record: Journal of the Transportation Research Board 1717, no. 1 (2000): 28–36. http://dx.doi.org/10.3141/1717-05.

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Researchers developed a fuzzy-logic model for predicting the risk of accidents that occur on wet pavements. Preventing wet-pavement accidents has been an extremely difficult and elusive task because they are stochastic events whose occurrence is related to a variety of factors, including vehicle, roadway, human, and environmental characteristics. Conventionally, researchers use linear or nonlinear regression models and probabilistic models to predict wet-pavement accidents. However, these models often are limited in their capability to fully explain the process when the underlying physical sys

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Kashevarova, Galina G., and Yury L. Tonkov. "Intelligent Technologies in the Examination of Construction Structures." Scientific journal “ACADEMIA. ARCHITECTURE AND CONSTRUCTION”, no. 1 (March 22, 2018): 92–99. http://dx.doi.org/10.22337/2077-9038-2018-1-92-99.

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Categoiy of technical condition (normative, workable imited operational or emergency), which is determined by engineering inspection of buildings and structures, is the main criterion in making decisions about the degree of accident or the need to take measures to bring it to further use. The decisions taken depend on the objectivity and reliability of the information provided ty expertswhich sometimes cannot be interpreted as completely true or complete^ false. It seems advisable to strengthen and expand the professional capabilities of specialists who are engaged in the survey of constructio

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Nascimento, Luiz Fernando C., Paloma Maria S. Rocha Rizol, and Luciana B. Abiuzi. "Establishing the risk of neonatal mortality using a fuzzy predictive model." Cadernos de Saúde Pública 25, no. 9 (2009): 2043–52. http://dx.doi.org/10.1590/s0102-311x2009000900018.

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The objective of this study was to develop a fuzzy model to estimate the possibility of neonatal mortality. A computing model was built, based on the fuzziness of the following variables: newborn birth weight, gestational age at delivery, Apgar score, and previous report of stillbirth. The inference used was Mamdani's method and the output was the risk of neonatal death given as a percentage. 24 rules were created according to the inputs. The validation model used a real data file with records from a Brazilian city. The receiver operating characteristic (ROC) curve was used to estimate the acc

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Mada, Grandianus Seda, Nugraha Kristiano Floresda Dethan, and Andika Ellena Saufika Hakim Maharani. "The Defuzzification Methods Comparison of Mamdani Fuzzy Inference System in Predicting Tofu Production." Jurnal Varian 5, no. 2 (2022): 137–48. http://dx.doi.org/10.30812/varian.v5i2.1816.

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One of the tofu-producing companies in Kupang City is Bintang Oesapa. With the Covid-19 pandemic,the factory needs to reconsider the amount of production by taking into account the unpredictability ofdemand and resources to minimize losses due to excessive accumulation or shortages of supplies. Indetermining the amount of production, Mamdani’s Fuzzy Inference System (FIS) can be used, whichis a method for the analysis of an uncertain system. This method has three stages in the process ofdecision making, namely fuzzification, inferencing and defuzzification. In the defuzzification stage,the FIS

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Fointuna, Daniel W., Agapitus H. Kaluge, and Aloysius J. Fernandez. "Kategorisasi Kemampuan Literasi Matematika Siswa SMP Negeri Se-Kota Kupang Berbantuan Fuzzy Inference System Metode Mamdani." Asimtot : Jurnal Kependidikan Matematika 1, no. 1 (2019): 1–12. http://dx.doi.org/10.30822/asimtot.v1i1.92.

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This survey aims to describe the mathematical literacy of state junior high school students in Kupang city, East Nusa Tenggara province. It was done not only due to the low achievement of Indonesian 15-year-old students in PISA but also because there are no surveys which had been done before to map the mathematical literacy of students in Kupang city. A total of 377 respondents who were the ninth grade students representing six state junior high schools in Kupang were collected by two-stage cluster randomized sampling. The students were assessed using fifteen problems adopted from PISA 2012 an

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Sukarna, Sukarna, Irman Hermadi, and Yani Nurhadryani. "Evaluasi Kinerja pelaksanaan Anggaran Berbasis Fuzzy Inference System." Jurnal Teknologi Informasi dan Ilmu Komputer 8, no. 2 (2021): 333. http://dx.doi.org/10.25126/jtiik.2021833848.

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<p class="Abstrak">Kinerja Pemerintah merupakan output kinerja kementerian/lembaga yang diimplementasikan dalam Perjanjian Kinerja. Laporan Kinerja adalah bentuk pertanggungjawaban kementerian terhadap Perjanjian Kinerja yang disusun secara bertahap dari unit kerja, unit organisasi, dan kementerian. Capaian kinerja aggaran tingkat Kementerian Pertanian tahun 2019 sebesar 94.56% (kategori sangat baik) namun nilai efisiensi anggaran tingkat kementerian sebesar 71,89% yang disebabkan oleh belum efisiennya penggunaan anggaran terhadap capain target. Penelitian ini menggunakan <em>fuzzy

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Fereshteh, Bayat, Salajegheh Afshin, and Rastegari Yousef. "NEGOTIATION ON A NEW POLICY IN SERVICE." International Journal on Web Service Computing (IJWSC) 5, no. 4 (2014): 01–07. https://doi.org/10.5281/zenodo.3676423.

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During interactions between organizations in the field of service-oriented architecture, some security requirements may change and new security policies addressed. Security requirements and capabilities of Web services are defined as security policies. The purpose of this paper is reconciliation of dynamic security policies and to explore the possibility of requirements of the new defined security policies. During the process of applying the defined dynamic policy, is checked whether the service provider can accept the new policy or not. Therefore, the compatibility between existing policies a

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Senturk, Niyazi, Gulten Tuncel, Berkcan Dogan, et al. "BRCA Variations Risk Assessment in Breast Cancers Using Different Artificial Intelligence Models." Genes 12, no. 11 (2021): 1774. http://dx.doi.org/10.3390/genes12111774.

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Artificial intelligence provides modelling on machines by simulating the human brain using learning and decision-making abilities. Early diagnosis is highly effective in reducing mortality in cancer. This study aimed to combine cancer-associated risk factors including genetic variations and design an artificial intelligence system for risk assessment. Data from a total of 268 breast cancer patients have been analysed for 16 different risk factors including genetic variant classifications. In total, 61 BRCA1, 128 BRCA2 and 11 both BRCA1 and BRCA2 genes associated breast cancer patients’ data we

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O. Erihri Jonathan, O. Ohwo Stephen, and N. Okwor Anthony A. Adeyeye Emmanuel. "An Enhanced Adaptive Medical Diagnostic Model Driven By Genetic–Neuro-Fuzzy Algorithms." Sumerianz Journal of Medical and Healthcare, no. 73 (August 4, 2024): 41–56. http://dx.doi.org/10.47752/sjmh.73.41.56.

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This research aims at developing adaptive medical diagnostic system driven by genetic, neural network and fuzzy logic algorithms for effective diagnosis of tuberculosis. Medical diagnosis for tuberculosis disease is a complex decision process that involves a lot of vagueness and uncertainty management, since the disease has multiple symptoms. The use of several algorithms has been explored in clinical diagnosis models for diagnosing and prescribing therapy for tuberculosis, but has challenges in transforming the vagueness and uncertainty of multiple symptoms due to the noisy nature of the dise

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Ageev, Sergey, Vladimir Karetnikov, Evgeny Ol’khovik, and Andrey Privalov. "Adaptive method of detecting traffic anomalies in high-speed multi-service communication networks." E3S Web of Conferences 157 (2020): 04027. http://dx.doi.org/10.1051/e3sconf/202015704027.

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In the paper, an adaptive hybrid heuristic (behavioral) method for detecting small traffic anomalies in high-speed multiservice communication networks, which operates in real time, is proposed and investigated. The relevance of this study is determined by the fact that network security management processes in high-speed multiservice communication networks need to be implemented in a mode close to real-time mode, as well as identifying possible network security threats in the early stages of the implementation of possible network attacks. The proposed method and algorithm belong to the class of

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Kumar, Kapil, Shikhar Deep, Surindra Suthar, M. G. Dastidar, and T. R. Sreekrishnan. "Application of fuzzy inference system (FIS) coupled with Mamdani’s method in modelling and optimization of process parameters for biotreatment of real textile wastewater." Desalination and Water Treatment 57, no. 21 (2015): 9690–97. http://dx.doi.org/10.1080/19443994.2015.1042062.

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Jafelice, Rosana Motta, Ana Maria Bertone, and Rodney Carlos Bassanezi. "A Study on Subjectivities of Type 1 and 2 in Parameters of Differential Equations." TEMA (São Carlos) 16, no. 1 (2015): 51. http://dx.doi.org/10.5540/tema.2015.016.01.0051.

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<span style="color: #000000;"> This study presents the </span><span style="color: #000000;">Verhulst's</span><span style="color: #000000;"> model for the analysis of population growth with the rate of </span><span style="color: #000000;">reproductivity</span><span style="color: #000000;"> depending on the fertility rate and the country economic development. These linguistic variables are defined through Fuzzy Rule-Based Systems (</span><span style="color: #000000;">FRBS</span><span style="color: #000000;">). The anal

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BULGAKOVA, Julia. "DECISION MAKING ON CARGO-FLOWS MANAGEMENT IN INTEGRATED PRODUCTION AND TRANSPORTATION SYSTEM." Transport Problems 11, no. 4 (2017). https://doi.org/10.20858/tp.2016.11.4.8.

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Summary. The problem of real time cargo-flows management in the integrated production and transportation system on example of machine-building enterprise is viewed optimal number of order cards in production and transportation system, which provides reduction in logistic costs. The building approach of membership function of linguistic terms, which characterize work-in-process level and waiting time, based on deterministic stock management model and queuing system is proposed.

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Aulia, Nuril Isnia. "Determination of Scholarship Amount with Mamdani's Fuzzy Inference System (FIS)." February 27, 2022. https://doi.org/10.5281/zenodo.6300015.

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Regency Education Office is one of the government agencies that play a role in education. Under the coordination of the Regional Government, there is a policy regarding a grant in aid to local underprivileged undergraduate students through scholarships. The determination of its amount has been done manually by considering the location of the university and the tuition fee for each applicant's study program. The process carried out does not include clear rules and boundaries. Fuzzy Inference System (FIS) functions to control any process by using inference rules based on fuzzy logic. This pa

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Savitri, Sentya Agus, and Didi Suhaedi. "Penerapan Inference Fuzzy Mamdani dalam Seleksi Penerima Bantuan Sosial Tunai Kabupaten Belitung Timur." Jurnal Riset Matematika, December 21, 2022, 163–72. http://dx.doi.org/10.29313/jrm.v2i2.1383.

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Abstract. Cash Social Assistance is a form of government intervention through the Indonesian Ministry of Social Affairs in order to provide a social safety stimulus in the midst of the COVID-19 pandemic. However, in the process there are still obstacles, one of which is in determining the recipients of Cash Social Assistance. The use of the Mamdani Fuzzy Inference System is one method that can be used in the process of determining the recipients of Cash Social Assistance. In its use, Fuzzy Mamdani has four stages, starting from the stages of forming fuzzy sets, application of the Implication f

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"Power Quality Improvement using Three Phase Unified Power Flow Controller (PI-Fuzzy-ANN)." International Journal of Engineering and Advanced Technology 8, no. 6S2 (2019): 133–37. http://dx.doi.org/10.35940/ijeat.f1033.0886s219.

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Realities gadgets are utilized to control the power stream, to expand the transmission limit and to upgrade the strength of the power framework.. The controller utilized in the control instrument significantly affects controlling the power stream. As indicated by this, the capacity of UPFC is seen by utilizing distinctive control methodologies dependent on PI, fluffy rationale controllers (FLC) and fake neural system controllers in this investigation. Fluffy rationale controller is structured dependent on Mamdani's Fuzzy Inference Method while ANN depends on weighted normal method.This paper i

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Saracoglu, Burak Omer. "An Experimental Private Small Hydropower Plant Investments Selection Classification System." Journal of Data Science and Intelligent Systems, November 27, 2023. http://dx.doi.org/10.47852/bonviewjdsis32021380.

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Investment selection problems and models are crucial for humans, communities, and states. Private small hydroelectric power/hydropower plant investments (PSHPPIs) selection problem is a unique one in those problems and models. Many available scientific methods can be implemented on this research topic. One of them is type-2 Mamdani's type fuzzy inference systems (FISs). This study presents an experimental one-node general type-2 4-zslices Mamdani's type FIS model for PSHPPIs selection. There are 3 input variables (total estimated electricity generation: M1, total estimated cost: M2, change in

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Martínez-Martínez, Oscar A., Araceli Ramírez-López, Eduardo Gamaliel Hernández Martínez, and René Mac Kinney Romero. "The multidimensionality of social wellbeing: interactions from the individual to the collective level in large cities." Frontiers in Sociology 8 (August 24, 2023). http://dx.doi.org/10.3389/fsoc.2023.1137797.

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This paper responds to two questions—What dimensions and indicators are relevant to the construction of social wellbeing? How are the levels of wellbeing distributed in the municipalities of Mexico City? To answer these questions, we use data from the Wellbeing Survey (N = 2,871) that is representative of Mexico City and its municipalities. We employed two methods, DM-R distances, and Mamdani's Fuzzy Inference Method. The results show that all the proposed dimensions and indicators contributed to the building of multidimensional social wellbeing; in the case of some indicators (social security

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SARACOGLU, Burak Omer. "A Proposal And Its Application On The Type-2 Fuzzy Mamdani's Method For The Selection Classification Of The Private Small Hydropower Plant Investments In The Very Early Investment Stages In Turkey." International Journal of Energy Studies, May 30, 2023. http://dx.doi.org/10.58559/ijes.1217872.

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The private small hydroelectric power plant investments (PSHPPIs) differ very much from the other types of the private hydropower plant investments. In most cases, it will be more appropriate for the private electricity generation investors to analyze the alternatives by help of the models proposed only for the PSHPPIs based on the PSHPPIs' own characteristics. This paper pro-poses an online Type-2 Mamdani's fuzzy inference method by help of a Java-based library: Juzzy toolkit, for the selection of the PSHPPIs in the very early investment stages in Turkey. The real-life PSHPPIs' applications h

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Syafitri, Nesi, and Yudhi Arta. "Fuzzy-Based Screening System for Determination of Enhanced Oil Recovery (EOR) Method in Reservoir." IT Journal Research and Development, January 12, 2022, 122–29. http://dx.doi.org/10.25299/itjrd.2022.8640.

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The petroleum industry is developing technology to increase oil recovery in reservoirs. One of the technologies used is Enhanced Oil Recovery (EOR). Selecting an EOR method for a specific reservoir condition is one of the most challenging tasks for a reservoir engineer. This study tries to build a fuzzy logic-based screening system to determine the EOR method. It created the system intending to be able to assist in selecting and determining the appropriate EOR method used in the field. There are nine input criteria used to screen the EOR criteria, namely: API Gravity, Oil Saturation, Formation

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Fereshteh, Bayat. "NEGOTIATION ON A NEW POLICY IN SERVICE." December 30, 2014. https://doi.org/10.5281/zenodo.1209522.

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During interactions between organizations in the field of service-oriented architecture, some security requirements may change and new security policies addressed. Security requirements and capabilities of Web services are defined as security policies. The purpose of this paper is reconciliation of dynamic security policies and to explore the possibility of requirements of the new defined security policies. During the process of applying the defined dynamic policy, is checked whether the service provider can accept the new policy or not. Therefore, the compatibility between existing policies a

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Fereshteh, Bayat and Afshin Salajegheh and Yousef Rastegari. "NEGOTIATION ON A NEW POLICY IN SERVICE." June 23, 2021. https://doi.org/10.5281/zenodo.5016276.

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During interactions between organizations in the field of service-oriented architecture, some security requirements may change and new security policies addressed. Security requirements and capabilities of Web services are defined as security policies. The purpose of this paper is reconciliation of dynamic security policies and to explore the possibility of requirements of the new defined security policies. During the process of applying the defined dynamic policy, is checked whether the service provider can accept the new policy or not. Therefore, the compatibility between existing policies a

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Fereshteh, Bayat and Afshin Salajegheh and Yousef Rastegari. "NEGOTIATION ON A NEW POLICY IN SERVICE." July 15, 2021. https://doi.org/10.5281/zenodo.5105221.

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During interactions between organizations in the field of service-oriented architecture, some security requirements may change and new security policies addressed. Security requirements and capabilities of Web services are defined as security policies. The purpose of this paper is reconciliation of dynamic security policies and to explore the possibility of requirements of the new defined security policies. During the process of applying the defined dynamic policy, is checked whether the service provider can accept the new policy or not. Therefore, the compatibility between existing policies a

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Chaves, Luciano Eustáquio, Luiz Fernando Costa Nascimento, and Paloma Maria Silva Rocha Rizol. "Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution." Revista de Saúde Pública 51 (2017). http://dx.doi.org/10.1590/s1518-8787.2017051006501.

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ABSTRACT OBJECTIVE Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Campos, São Paulo State. METHODS This is a computational model using fuzzy logic based on Mamdani’s inference method. For the fuzzification of the input variables of particulate matter, ozone, sulfur dioxide and apparent temperature, we considered two relevancy functions for each variable with the linguistic approach: good and bad. For the output variable number of hospitalizations for asthma and pneumonia, we considered five relevancy functi

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Jafari, Roya, Mohsen Zandi, and Ali Ganjloo. "Modeling of microwave‐ and ultrasound‐ohmic‐assisted hydro‐distillation extraction of the Pimpinella anisum essential oil." Journal of Food Process Engineering, August 8, 2023. http://dx.doi.org/10.1111/jfpe.14428.

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AbstractFirst‐order, second‐order, sigmoid, and absorption models were used to predict the extraction yield (EY) of anise essential oil (AEO). Sigmoid model was able to predict the EY with R2 0.9852 and 0.9869 respectively for ohmic‐assisted hydro‐distillation methods with ultrasound and microwave pretreatments. It was found that among the different prediction models, adaptive neuro‐fuzzy inference system (ANFIS) has the highest accuracy for EY estimating. So that a network with the help of Mamdani's maximum‐minimum method and triangular membership function was able to predict the EY in both p

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