Bibliografias temáticas / Mamdani fuzzy

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Literatura científica selecionada sobre o tema "Mamdani fuzzy"

Autor: Grafiati
Publicado: 3 de junho de 2025
Última modificação: 19 de julho de 2025

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Artigos de revistas sobre o assunto "Mamdani fuzzy"

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Elfaladonna, Febie, and Indra Griha Tofik Isa. "UJI EFEKTIFITAS METODE FUZZY LOGIC MAMDANI PADA PENERIMAAN BEASISWA BANTUAN MENGGUNAKAN MATLAB." SINTECH (Science and Information Technology) Journal 5, no. 1 (2022): 75–86. http://dx.doi.org/10.31598/sintechjournal.v5i1.1043.

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One of the supporters in creating an even educational climate is the existence of scholarships. In general, scholarships in the form of financial assistance intended for the community of higher education, both lecturers, teachers, students and students. In the awarding of scholarships, some findings were obtained, including not being on target which caused the scholarship assistance to be ineffective. One solution in determining the acceptance of scholarships is the existence of a system that is integrated with decision-making methods. Fuzzy logic mamdani becomes one of the recommendation meth
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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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Anisah, Siti, Tony Yulianto, and Faisol Faisol. "Perbandingan Fuzzy Sugeno dan Fuzzy Mamdani Pada Analisis Minat Masyarakat Terhadap Produk Air Minum Dalam Kemasan Lokal dan Nasional di Madura." Zeta - Math Journal 6, no. 1 (2021): 29–37. http://dx.doi.org/10.31102/zeta.2021.6.1.29-37.

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Air Minum Dalam Kemasan (AMDK) adalah air yang telah diproses, tanpa bahan pangan lainnya dan bahan tambahan pangan, dikemas serta aman untuk diminum. Sistem inferensi Fuzzy yang digunakan pada penelitian ini adalah menggunakan Fuzzy Sugeno orde nol, Fuzzy Mamdani metode Centroid dan Fuzzy Mamdani metode Bisektor. Hasil perbandingan metode yang digunakan pada penelitian ini berdasarkan pada air minum dalam kemasan (AMDK) lokal dan nasional. Pada AMDK lokal, Fuzzy Sugeno mempunyai nilai MSE 978,4227 dan nilai MAPE 0,4227, Fuzzy Mamdani metode Centroid mempunyai nilai MSE 853,7536 dan nilai MAPE
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Roki Syah Al Zarkasi, Dhebys Suryani Hormansyah, and Dimas Wahyu Wibowo. "IMPLEMENTASI METODE FUZZY MAMDANI DAN LINEAR CONGRUENTIAL GENERATOR (LCG) PADA GAME HIDDEN OBJECT." Jurnal Informatika Polinema 6, no. 4 (2020): 23–30. http://dx.doi.org/10.33795/jip.v6i4.317.

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Game dewasa ini telah menjadi populer di kalangan masyarakat, sebagai suatu bentuk hiburan, mendukung interaksi sosial antara mereka. Game atau permainan sejatinya dibuat untuk digunakan sebagai sarana menghibur. Game hidden object merupakan salah satu konsep game yang ada pada genre game puzzle. Game puzzle merupakan salah satu permainan yang dapat mengasah otak dan sangat menantang. Metode Linear Congruential Genetator (LCG) digunakan untuk membangkitkan bilangan acak dengan distribusi uniform. Random number atau bilangan acak adalah sebuah bilangan yang dihasilkan dari sebuah proses, yang k
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Muflihunna, Khaerunissa, and Mashuri Mashuri. "Penerapan Metode Fuzzy Mamdani dan Metode Fuzzy Sugeno dalam Penentuan Jumlah Produksi." Unnes Journal of Mathematics 11, no. 1 (2022): 27–37. http://dx.doi.org/10.15294/ujm.v11i1.50060.

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This study examines the application of the Mamdani fuzzy method and Sugeno fuzzy method in determining the amount of jenang production, based on the variables of demand, supply, raw materials and production. The purpose of this study was to apply the Mamdani fuzzy and Sugeno fuzzy methods, and to find out which method is more accurate between the two methods in determining the amount of jenang production based on the MAPE value. Data collection was obtained at PJ Menara Kudus with Jenang Kombinasi and Jenang Wijen products in January 2020 to March 2021. The results of data processing obtained
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Arai, Yoshinori, and Toshihiko Watanabe. "Professor Ebrahim Mamdani Memorial Issue." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 5 (2012): 591. http://dx.doi.org/10.20965/jaciii.2012.p0591.

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On February 22, 2010, Prof. Ebrahim H. Mamdani who devised Mamdani fuzzy inference has passed away. His work in fuzzy inference, which rapidly paved the way to its practical use, helped disseminate Prof. Lotfi Zadehfs fuzzy logic and the development of fuzzy research. Prof. Mamdanifs two papers on fuzzy inference ? gApplication of fuzzy algorithms for control of simple dynamic planth (Proc. IEE, Vol.121, No. 12, pp. 1585-1588, 1974) and gAn experiment in linguistic synthesis with a fuzzy logic controllerh (Int. J. of Man-Machine Studies, Vol.7, No.1, pp. 1-13, 1975) with S. Assilian ? en
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Rizal Chaidir, Ali. "Pengendalian Kualitas Air Minum Menggunakan Fuzzy Mamdani Berbasis Internet of Things." Electrician : Jurnal Rekayasa dan Teknologi Elektro 19, no. 1 (2025): 39–45. https://doi.org/10.23960/elc.v19n1.2648.

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Penelitian ini bertujuan untuk merancang dan membangun sistem pemantauan dan kontrol kualitas air minum menggunakan Internet of Things (IoT) dan metode fuzzy Mamdani. Pengukuran akurasi sistem fuzzy Mamdani sebagai sistem pendukung keputusan dalam menentukan kualitas air minum. Metode yang digunakan adalah fuzzy Mamdani. Variabel penelitian ini menggunakan 4 input (suhu, TDS, pH, kekeruhan) dan 1 output (kualitas air). Aturan fuzzy akan disusun berdasarkan variabel input dan output. Sebanyak 36 aturan fuzzy akan terbentuk yang mempertimbangkan semua kemungkinan. Pengujian dilakukan menggunakan
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Istiadi, Istiadi, Emma Budi Sulistiarini, Rudy Joegijantoro, Anik Vega Vitianingsih, and Affi Nizar Suksmawati. "Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 6 (2022): 1047–56. http://dx.doi.org/10.29207/resti.v6i6.4656.

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E-learning and expert systems can be implemented for learning in the health sector. Through the e-learning system, prospective health workers can analyze problems by exploring the material in the system. However, material learning alone is less effective, so case study-based learning using an expert system is needed to strengthen understanding. The research applies an expert system to online learning to diagnose several infectious diseases. The disease diagnosis process uses the backward chaining method and the Mamdani fuzzy inference system. The fuzzy Mamdani inference system determines the i
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Borroek, Maria Rosario, Errissya Rasywir, and Yovi Pratama. "Pengukuran Perangkat Lunak Untuk Effort Estimation Dengan Teknik Pembelajaran Mesin." JURNAL MEDIA INFORMATIKA BUDIDARMA 4, no. 2 (2020): 445. http://dx.doi.org/10.30865/mib.v4i2.2083.

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Software effort estimation is to estimate the amount of resources needed in developing the software. For that software effort estimation is important so need to see the effect of software measurement to software effort estimation which is done by machine learning technique. Based on this the researcher tries to build a system capable of measuring software. In this study experiments on software measurement techniques (FPA, FPA with Sugeno fuzzy and FPA with mamdani fuzzy). The three types of techniques are compared with the three project data for further software effort estimation. For evaluati
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Wibowo, Agus Hindarto, Joko Susetyo, Titin Isna Oesman, and Muhammad Yuda Aliffian. "Proposed Control of Raw Material Inventory in Condition of Not Required With Fuzzy Mamdani Method in Cv. Pinus Bag's Specialist." Logic : Jurnal Rancang Bangun dan Teknologi 20, no. 3 (2020): 167–75. http://dx.doi.org/10.31940/logic.v20i3.1835.

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CV. Pine Bag’s Specialist is a business engaged in the manufacturing of various types of bags. One of the bags made in the form of a backpack. Parachute fabric is the main raw material for making backpacks. Uncertain demand causes a lot of accumulation (over stock) of raw materials in the storage area, so we need a method of supporting raw material inventory control to determine the optimal order. The research objective determines the optimal ordering of raw materials using variable raw material demand, raw material inventory variables and ordering variables in January the first week to March
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Teses / dissertações sobre o assunto "Mamdani fuzzy"

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BEZERRA, ROSINI ANTONIO MONTEIRO. "HIERARCHICAL NEURO-FUZZY BSP-MAMDANI MODEL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3129@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Esta dissertação investiga a utilização de sistemas Neuro- Fuzzy Hierárquicos BSP (Binary Space Partitioning) para aplicações em classificação de padrões, previsão, sistemas de controle e extração de regras fuzzy. O objetivo é criar um modelo Neuro-Fuzzy Hierárquico BSP do tipo Mamdani a partir do modelo Neuro-Fuzzy Hierárquico BSP Class (NFHB-Class) que é capaz de criar a sua própria estrutura automaticamente e extrair conhecimento de uma base de dados através de regras fuzzy, lingüisticamente interpretáveis, que explicam
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Tan, Lujiao. "Takagi-Sugeno and Mamdani Fuzzy Control of a Resort Management System." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2661.

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By means of fuzzy set theory as well as Takagi-Sugeno and Mamdani fuzzy controller, this paper presents the investigation of a Resort Management System implemented by a combination of a T-S model and a Mamdani model. It demonstrates the procedure of the specific premise parameters identification and consequence parameters identification performed by regression knowledge in the T-S model, and the process of the fuzzification, the rule base creation and the defuzzification with COG technique in the Mamdani model. Therefore, an aggregation between T-S controller and Mamdani controller applied in
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Gayer, Fernanda Almeida Marchini [UNESP]. "A Matemática está em tudo: modelagem fuzzy para um problema da indústria e uma proposta de aplicação no Ensino Médio." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152274.

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Submitted by FERNANDA ALMEIDA MARCHINI GAYER null (fer_marchini@yahoo.com.br) on 2017-12-12T16:34:52Z No. of bitstreams: 1 dissertacao.pdf: 8726620 bytes, checksum: 66b744fe24afaf15e89574cfd8c23af1 (MD5)<br>Approved for entry into archive by Adriana Aparecida Puerta null (dripuerta@rc.unesp.br) on 2017-12-12T18:20:47Z (GMT) No. of bitstreams: 1 gayer_fam_me_rcla.pdf: 8697307 bytes, checksum: ef684be2abf1d5c9b37f2d77c9ab5ce8 (MD5)<br>Made available in DSpace on 2017-12-12T18:20:47Z (GMT). No. of bitstreams: 1 gayer_fam_me_rcla.pdf: 8697307 bytes, checksum: ef684be2abf1d5c9b37f2d77c9ab5ce8 (
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Karimov, Azar. "Office Rent Variation In Istanbul Cbd: An Application Of Mamdani And Tsk-type Fuzzy Rule Based System." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612322/index.pdf.

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Over the past decade, fuzzy systems have gained remarkable acceptance in many fields including control and automation, pattern recognition, medical diagnosis and forecasting. The fuzzy system application has also been accepted as a promising approach to dealing with uncertainty in real estate valuation analysis. This is mainly due to the necessity of coping with a large number of qualitative and quantitative variables that affect the value of a real property. The appraisers use a great deal of judgment to identify both the characteristics that contribute to property values and the relationsh
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García, Z. Yohn E. "Fuzzy logic in process control: A new fuzzy logic controller and an improved fuzzy-internal model controller." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/2529.

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Two fuzzy controllers are presented. A fuzzy controller with intermediate variable designed for cascade control purposes is presented as the FCIV controller. An intermediate variable and a new set of fuzzy logic rules are added to a conventional Fuzzy Logic Controller (FLC) to build the Fuzzy Controller with Intermediate Variable (FCIV). The new controller was tested in the control of a nonlinear chemical process, and its performance was compared to several other controllers. The FCIV shows the best control performance regarding stability and robustness. The new controller also has an acceptab
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AFONSO, Antônio Cláudio Marques. "Lógica fuzzy aplicada à modelagem da transferência de água em solos." Universidade Federal de Pernambuco, 2009. https://repositorio.ufpe.br/handle/123456789/9849.

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Made available in DSpace on 2014-06-12T23:16:25Z (GMT). No. of bitstreams: 2 arquivo8686_1.pdf: 1460824 bytes, checksum: 6e00ba5a404123a03f24b6f64a05a565 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2009<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>A modelagem do movimento da água na região não saturada do solo requer normalmente um grande número de parâmetros e variáveis, tais como a umidade volumétrica inicial, a umidade volumétrica saturada e a condutividade hidráulica saturada, que podem sem avaliadas de
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Boso, Ana Cláudia Marassá Roza 1987. "Modelagem matemática e computacional na avaliação do uso de água magnetizada na irrigação do rabanete utilizando o sistema Mamdani /." Botucatu, 2018. http://hdl.handle.net/11449/158289.

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Orientador: Camila Pires Cremasco Gabriel<br>Banca: Daniel dos Santos Viais Neto<br>Banca: Raul Andres Martinez Uribe<br>Resumo: Este trabalho teve por objetivo estudar a produtividade da cultura do Rabanete, irrigada com dois tipos de tratamento: água convencional (AC) e água tratada magneticamente (ATM), utilizando modelos Fuzzy e estatísticos. Para isso, o estudo foi divido em dois capítulos: o primeiro descreve os resultados obtidos com a produtividade da cultura do rabanete, utilizando água convencional e água tratada magneticamente para irrigação. Houve a comparação entre os modelos Fuzz
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Rodrigues, Diego Garcia. "Um modelo de rede neuro-fuzzy baseada em funções de base radial capaz de inferir regras do tipo Mamdani." reponame:Repositório Institucional da UFSC, 2015. https://repositorio.ufsc.br/xmlui/handle/123456789/132476.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2015.<br>Made available in DSpace on 2015-04-29T21:10:19Z (GMT). No. of bitstreams: 1 333056.pdf: 1646409 bytes, checksum: e628ceff8b30da1b5de3b154bd377f8a (MD5) Previous issue date: 2015<br>Este trabalho tem como objetivo apresentar um novo sistema de inferência neuro-fuzzy, chamado RBFuzzy, capaz de extrair conhecimento a partir de dados e gerar regras fuzzy do tipo Mamdani com alta interpretabilidade. A RBFuzzy é um sistema de inferência n
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Viais, Neto Daniel dos Santos [UNESP]. "Modelagem Fuzzy para avaliação do desenvolvimento do tomate em tensões de água no solo e doses de salinidade na irrigação." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/139498.

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Submitted by DANIEL DOS SANTOS VIAIS NETO null (dvneto@gmail.com) on 2016-06-17T14:42:35Z No. of bitstreams: 1 TESE - Daniel dos Santos Viais Neto.pdf: 1994747 bytes, checksum: af65171f111a7da468c3f93b43c93b28 (MD5)<br>Approved for entry into archive by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br) on 2016-06-21T19:17:36Z (GMT) No. of bitstreams: 1 viaisneto_ds_dr_bot.pdf: 1994747 bytes, checksum: af65171f111a7da468c3f93b43c93b28 (MD5)<br>Made available in DSpace on 2016-06-21T19:17:37Z (GMT). No. of bitstreams: 1 viaisneto_ds_dr_bot.pdf: 1994747 bytes, checksum: af65171f11
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VIEIRA, Artur Sales de Abreu. "Avaliação a suscetibilidade de deslizamento de terra na bacia hidrográfica do Rio Trombetas via lógica fuzzy." Universidade Federal do Pará, 2018. http://repositorio.ufpa.br/jspui/handle/2011/9851.

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Submitted by Kelren Mota (kelrenlima@ufpa.br) on 2018-05-15T19:37:42Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação_AvaliacaoSuscetibilidadeDeslizamento.pdf: 2366190 bytes, checksum: 1333e460bc5a12dbce3baf0b5cb5c464 (MD5)<br>Approved for entry into archive by Kelren Mota (kelrenlima@ufpa.br) on 2018-05-15T19:38:47Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação_AvaliacaoSuscetibilidadeDeslizamento.pdf: 2366190 bytes, checksum: 1333e460bc5a12dbce3baf0b5cb5c464 (MD5)<br>M
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Livros sobre o assunto "Mamdani fuzzy"

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Trillas, Enric. Combining Experimentation and Theory: A Hommage to Abe Mamdani. Springer Berlin Heidelberg, 2012.

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Magdalena, Luis, Enric Trillas, Janusz Kacprzyk, and Piero P. Bonissone. Combining Experimentation and Theory: A Hommage to Abe Mamdani. Springer Berlin / Heidelberg, 2014.

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Capítulos de livros sobre o assunto "Mamdani fuzzy"

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Adilova, Nigar E. "Fuzzy Type-3 Mamdani Controller." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-76283-3_5.

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Scherer, Rafał. "Ensembles of the Mamdani Fuzzy Systems." In Multiple Fuzzy Classification Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30604-4_5.

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Verma, Nishchal K., Vikas Singh, Shreedharkumar Rajurkar, and Mohd Aqib. "Fuzzy Inference Network with Mamdani Fuzzy Inference System." In Computational Intelligence: Theories, Applications and Future Directions - Volume I. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1132-1_29.

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Maia, Daniel Helder, and Arjab Singh Khuman. "A Mamdani Fuzzy Logic Inference System to Estimate Project Cost." In Fuzzy Logic. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66474-9_10.

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Hughes, Sophie, and Arjab Singh Khuman. "Automatic Camera Flash Using a Mamdani Type One Fuzzy Inference System." In Fuzzy Logic. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66474-9_13.

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Moraga, Claudio. "A Metasemantic Interpretation of Mamdani Systems." In Enric Trillas: A Passion for Fuzzy Sets. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16235-5_12.

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Selvaraj, Ayyakkannu, Anakath Arasan, Sharvari Tamane, et al. "Mamdani Fuzzy Based Prediction of Rainfall Fuzzy Rainfall Index." In Advances in Computer Science Research. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-136-4_74.

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Rutkowska, Danuta. "Neuro-Fuzzy Architectures Based on the Mamdani Approach." In Neuro-Fuzzy Architectures and Hybrid Learning. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1802-4_4.

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Chmielowski, Wojciech Z. "A System Controlling Liquid Temperature Using Mamdani Fuzzy Controllers (SIMO)." In Fuzzy Control in Environmental Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19261-1_7.

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Bede, Barnabas, and Imre J. Rudas. "Takagi-Sugeno Approximation of a Mamdani Fuzzy System." In Advance Trends in Soft Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03674-8_28.

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Trabalhos de conferências sobre o assunto "Mamdani fuzzy"

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Priya and Neha Gupta. "Fuzzy based Mamdani Inference System for Botnet Detection." In 2024 1st International Conference on Advanced Computing and Emerging Technologies (ACET). IEEE, 2024. http://dx.doi.org/10.1109/acet61898.2024.10730059.

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Dewantoro, Fakhrul, Erika Loniza, Yessi Jusman, and Kurnia Chairunnisa. "Rheumatic Compress Therapy Tool with Fuzzy Logic Mamdani." In 2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP). IEEE, 2023. https://doi.org/10.1109/airosip58759.2023.10874016.

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Hussey, Samuel, Jonathan E. Swindell, Adam C. Goad, et al. "Application of Mamdani Fuzzy Inference Systems to Interference Assessments." In 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2024. http://dx.doi.org/10.1109/dyspan60163.2024.10632741.

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Meliani, Hibatallah, Mohamed Hamza Boulaich, Hanaa El Afia, Said Ohamouddou, and Abdellatif El Afia. "Global Fuzzy Mamdani Simulated Annealing Applied to Traveling Salesman Problem." In 2024 Mediterranean Smart Cities Conference (MSCC). IEEE, 2024. http://dx.doi.org/10.1109/mscc62288.2024.10697033.

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Tuly, Tanjina Ahmed, Tanjid Ahammed Shafin, Md Zahid Hasan, Md Hasan Imam Bijoy, Mohammad Shamsul Arefin, and Mohammad Shorif Uddin. "A Mamdani Fuzzy Inference System for Comprehensive Diabetes Risk Evaluation." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025. https://doi.org/10.1109/ecce64574.2025.11013995.

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Xiong, Ning. "Learning flexible structured linguistic fuzzy rules for mamdani fuzzy systems." In 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2009. http://dx.doi.org/10.1109/fuzzy.2009.5277239.

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Zeng, Xiao-Jun, and Dongjiao Ge. "Learning evolving Mamdani fuzzy systems based on parameter optimization." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015609.

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"Mamdani fuzzy controller on NBV space." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786168.

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Cai, Qianfeng, Zhifeng Hao, and Xiaowei Yang. "Successive Overrelaxation for Mamdani Fuzzy Systems." In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.546.

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Selamat, Ali, Mohd Aizaini Maarof, and Tey Yi Chin. "Fuzzy Mamdani Inference System Skin Detection." In 2009 Ninth International Conference on Hybrid Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/his.2009.224.

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