Relevant bibliographies by topics / Mamdany's fuzzy inference

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  1. Journal articles
  2. Dissertations / Theses
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  4. Conference papers

Academic literature on the topic 'Mamdany's fuzzy inference'

Author: Grafiati
Published: 3 June 2025
Last updated: 19 July 2025

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

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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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Dissertations / Theses on the topic "Mamdany's fuzzy inference"

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Laghetto, Beatriz Krabbe. "Um modelo matemático para estimar o risco de desenvolver câncer de pulmão por meio de sistemas fuzzy." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8040.

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Submitted by Livia Mello (liviacmello@yahoo.com.br) on 2016-10-06T19:50:59Z No. of bitstreams: 1 DissBKL.pdf: 2379155 bytes, checksum: 51e6509b53346c6cbb27ecc3a7faf016 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-20T19:20:55Z (GMT) No. of bitstreams: 1 DissBKL.pdf: 2379155 bytes, checksum: 51e6509b53346c6cbb27ecc3a7faf016 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-20T19:21:00Z (GMT) No. of bitstreams: 1 DissBKL.pdf: 2379155 bytes, checksum: 51e6509b53346c6cbb27ecc3a7faf016 (MD5)<br>Made available
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Book chapters on the topic "Mamdany's fuzzy inference"

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Kalpana, M., and A. V. Senthil Kumar. "Enhanced Fuzzy Assessment Methodology to Find Overlapping in Membership Function Using K Ratio to Find the Yield of Rice." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9175-7.ch009.

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Fuzzy expert systems are designed based on fuzzy logic and deal with fuzzy sets. Many fuzzy expert systems have been developed for diagnosis. Fuzzy expert systems are developed using fuzzification interface, enhanced fuzzy assessment methodology, and defuzzification interface. Fuzzification helps to convert crisp values into fuzzy values. By applying the enhanced fuzzy assessment methodology for rice, the yield parameters of rice can be diagnosed with number of tillers per hill, number of grains per panicle, and 1000 grain weight. Pest and disease incidence becomes simple for scientists. Enhanced fuzzy assessment methodology for rice uses triangular membership function with Mamdani's inference and K Ratio. Defuzzification interface is adopted to convert the fuzzy values into crisp values. Performance of the system can be evaluated using the accuracy level. Accuracy is the proportion of the total number of predictions that are correct. The proposed algorithm was implemented using MATLAB fuzzy logic tool box to construct fuzzy expert system for rice.
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Ghosh, Ramkrishna, Suneeta Mohanty, Prasant Kumar Pattnaik, and Sabyasachi Pramanik. "A Novel Approach Towards Selection of Role Model Cluster Head for Power Management in WSN." In Machine Learning Applications in Non-Conventional Machining Processes. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3624-7.ch015.

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In this chapter, the authors present an innovative, smart controller to sustain mobility in wireless sensor networks (WSNs). Principally, the focal point is dependent on the arrangement of fuzzy input variables (i.e., remaining battery power [RBP], mobility, and centrality solution) to crucial usages, similar to personnel safety in an industrialized atmosphere. A mobility controller dependent upon type-1 fuzzy logic (T1FL) is planned to support sensor mobile nodes (MN). Here, a role model cluster head (RMCH) is picked out among the cluster heads (CHs) that may simply convey the message to the mobile base station (BS) by determining the appropriate type-1 fuzzy (T1F) descriptors such as RBP, mobility of the sink, and the centrality of the clusters. Type-1 fuzzy inference system (Mamdani's rule) is utilized to opt for the possibility to be RMCH. The validity of the introduced model is carried out by means of multiple linear regressions.
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Balan, Valerii. "FUZZY EVALUATION OF THE COMPETITIVENESS OF BUSINESS MODELS OF ENTERPRISES." In Economic development strategies: micro, macro and mesoeconomic levels. Publishing House “Baltija Publishing”, 2021. http://dx.doi.org/10.30525/978-9934-26-191-6-22.

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The study analyzes the factors that are determinants of competitiveness of business models of enterprises. The methodological approach to the comparative assessment of the competitiveness of business models of enterprises using the tools of fuzzy sets theory and fuzzy logic, which allows to take into account the fuzzy information received from specialists and experts, is developed. CANVAS business model criteria are considered as evaluation criteria. Two calculation schemes for analyzing the competitiveness of business models of enterprises have been implemented. The first was implemented using fuzzy multi-criteria evaluation methods, in particular, the Fuzzy TOPSIS method. The second scheme is based on Mamdani’s fuzzy inference algorithm. The fuzzy Delphi method is proposed to ensure the consistency of expert evaluations. The methodological approach is practically implemented as a framework in the Matlab computing system. The developed methodological approach can be useful in competitive analysis and strategic planning of the enterprise.
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Conference papers on the topic "Mamdany's fuzzy inference"

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Szarata, Andrzej. "Defining shape of membership function for Mamdani’s Fuzzy Inference System within park & ride share modelling." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4912836.

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