Relevant bibliographies by topics / Logika fuzzy

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Logika fuzzy'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Logika fuzzy"

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Taufiqurrahman, Dhiyaa Rifqi, and Muhammad Aria Rajasa Pohan. "Perbandingan Performa Logika Fuzzy Tipe-1 Dan Logika Fuzzy Tipe-2 Pada Sistem Pasteurisasi Susu Berbasis Mikrokontroler." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 11, no. 1 (2023): 23–34. http://dx.doi.org/10.34010/telekontran.v11i1.9686.

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Susu merupakan bahan makanan yang mudah rusak, untuk memperpanjang ketahanan susu dapat dilakukan teknik pemanasan yang disebut dengan pasteurisasi. Proses pasteurisasi tersebut bertujuan untuk membunuh bakteri patogen yang dapat membahayakan kesehatan manusia dan meminimalkan perkembangan mikroorganisme pembusuk lainnya. Penelitian ini bertujuan untuk merancang sistem pasteurisasi susu yang mampu mengatur suhu secara stabil pada proses pasteurisasi susu metode High Temperature Short Time (HTST) menggunakan logika fuzzy tipe-1 dan logika fuzzy tipe-2. Logika fuzzy tipe-2 merupakan pengembangan
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Mukhamad, Yanuar, Ahmad Hariyanto, and M. Ulil Albab. "Implementasi Fuzzy Logic Untuk Pengaturan Suhu Otomatis Pada Alat Sterilisator." Jurnal JEETech 6, no. 1 (2025): 48–54. https://doi.org/10.32492/jeetech.v6i1.6105.

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Sterilisator panas kering merupakan salah satu alat sterilisasi menggunakan metode suhu tinggi. Alat ini biasanya dapat dijumpai pada ruangan laboratorium, karena alat ini berfungsi untuk mensterilkan peralatan kedokteran. Perkembangan teknologi yang sangat pesat membuat berbagai kegiatan dan peralatan keokteran semakin moderen dimana banyak alat kedokteran yang sudah sangat canggih,begitu pun dengan alat sterilisator. Logika fuzzy adalah salah satu sistem pendukung keputusan yang dapat diimplementasikan untuk pengaturan suhu pada alat sterilisator panas kering. Tujuan penelitian ini ialah men
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Hignasari, L. Virginayoga. "KAJIAN TEORITIS APLIKASI LOGIKA FUZZY DALAM OPTIMASI JUMLAH PRODUKSI PADA SEBUAH INDUSTRI." Jurnal Ilmiah Vastuwidya 4, no. 2 (2021): 51–58. http://dx.doi.org/10.47532/jiv.v4i2.321.

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Penelitian ini bertujuan untuk mengetahui aplikasi logika fuzzy dalam optimasi jumlah produksi dalam suatu industri. Penelitian ini merupakan penelitian kualitatif dengan metode studi Pustaka. Literatur yang telah terkumpul kemudian dikaji utnuk mengetahui secara konsep dan teoritis bagaimana aplikasi logika fuzzy dalam menentukan optimasi jumlah produksi. Dalam menentukan nilai optimasi jumlah produksi menggunakan logika fuzzy ada tiga tahap yang dilakukan yaitu, mendefinisikan variabel fuzzy, inferensi, defuzzyfikasi. Dalam penetuan jumlah optimal suatu produksi ada 3 variabel yang harus dim
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Mulyadi, Dedy. "Komparasi Metode Logika Fuzzy Mamdani dan Metode Logika Fuzzy Sugeno Sebagai Pendukung Keputusan Seleksi Bertahap." Teknois : Jurnal Ilmiah Teknologi Informasi dan Sains 6, no. 1 (2019): 1–16. http://dx.doi.org/10.36350/jbs.v6i1.43.

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Seleksi bertahap pada penerimaan mahasiswa baru program studi Diploma III Akuntansi STIE Binaniaga Bogor melalui jalur beasiswa selama ini menggunakan metode rata-rata. Harapan minimal yang diinginkan STIE Binaniaga adalah semakin tinggi nilai hasil seleksi bertahap maka akan semakin tinggi pula prestasi akademik dalam perjalanan studi mahasiswa. Penggunaan metode rata-rata belum menunjukan hasil sebagaimana harapan minimal yang diinginkan, ditunjukkan dengan pola visualisasi prestasi akademik yang masih terdapat beberapa fluktuasi menaik dan menurun. Tujuan dari penelitian adalah membandingka
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Sudibyo, Pandu, Yanu Shalahuddin, and Mochtar Yahya. "Single Axis Tracking PV Panel Using Fuzzy Logic Control." JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer 1, no. 1 (2021): 1. http://dx.doi.org/10.32503/jtecs.v1i1.646.

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Abstrak – Panel PV(Photovoltaic) merupakan teknologi yang mengubah energi cahaya matahari menjadi energi listrik. Maka dari itu untuk mendapatkan iradiansi maksinal perlu sistem solar tracker sebagai cara untuk optimalisasi penyerapan cahaya matahari. Pada penelitian ini membahas pembuatan model simulink solar tracker menggunakan kontroler fuzzy logic. Arah sinar matahari disensor mengguanakan 2 buah sensor LDR (Light Dependent Resistor) yang selanjutnya menjadi input logika fuzy. Sistem terdiri atas 4 komponen utama yaitu PV Modul ,Mikrokontroler, motor servo, sensor LDR(Light Dependent Resis
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Gafur, Abd, Iradiratu Diah PK, and Belly Yan Dewantara. "RANCANG BANGUN KENDALI KECEPATAN MOTOR BERBASIS LOGIKA FUZZY UNTUK SISTEM PROPULSI ELEKTRIK PADA KAPAL MENGGUNAKAN PULSE WIDTH MODULATION (PWM)." MEDIA ELEKTRIKA 13, no. 1 (2020): 24. http://dx.doi.org/10.26714/me.13.1.2020.24-32.

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Sistem propulsi kapal adalah suatu mekanisme yang akan memutar baling-baling. Pada perkembangan saat ini motor induksi 3 fasa banyak digunakan untuk kendaraan elektrik baik untuk mobil listrik maupun propulsi pada kapal. Disamping keunggulannya motor induksi memiliki kelemahan yaitu sulitnya mengatur kecepatan motor induksi dikarenakan sifatnya yang tidak linier. Pada prinsipnya motor induksi dioperasikan pada kecepatan yang konstan, bila beban berubah kecepatan motor juga berubah. Dari permasalahan tersebut dalam penelitian ini dirancang alat kendali kecepatan motor berbasisi logika fuzzy unt
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Gafur, Abd, Iradiratu Diah PK, and Belly Yan Dewantara. "RANCANG BANGUN KENDALI KECEPATAN MOTOR BERBASIS LOGIKA FUZZY UNTUK SISTEM PROPULSI ELEKTRIK PADA KAPAL MENGGUNAKAN PULSE WIDTH MODULATION (PWM)." MEDIA ELEKTRIKA 13, no. 1 (2020): 24. http://dx.doi.org/10.26714/me.v13i1.5954.

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Sistem propulsi kapal adalah suatu mekanisme yang akan memutar baling-baling. Pada perkembangan saat ini motor induksi 3 fasa banyak digunakan untuk kendaraan elektrik baik untuk mobil listrik maupun propulsi pada kapal. Disamping keunggulannya motor induksi memiliki kelemahan yaitu sulitnya mengatur kecepatan motor induksi dikarenakan sifatnya yang tidak linier. Pada prinsipnya motor induksi dioperasikan pada kecepatan yang konstan, bila beban berubah kecepatan motor juga berubah. Dari permasalahan tersebut dalam penelitian ini dirancang alat kendali kecepatan motor berbasisi logika fuzzy unt
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Jonson Manurung, Jonson Manurung, Bosker Sinaga Bosker Sinaga, Paska Marto Hasugian Paska Marto Hasugian, Logaraj Logaraj, and Sethu Ramen Sethu Ramen. "Analisis Algoritma C4.5 Dan Fuzzy Sugeno Untuk Optimasi Rule Base Fuzzy." Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) 5, no. 2 (2022): 166–71. http://dx.doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2488.

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Logika fuzzy dapat mengatasi ketidakmampuan matematika konvensional untuk model sistem nonlinear. Fuzzy sugeno merupakan salah satu metode yang sering digunakan dalam logika fuzzy. Penggunaan metode sugeno dapat mengatasi masalah sistem non linear. Kelemahan dari logika fuzzy adalah meningkatnya beban komputasi yang bertambah secara eksponensial seiring dengan bertambahnya jumlah variabel dan jumlah aturan dalam logika fuzzy. Beberapa cara telah dilakukan oleh para peneliti sebelumnya untuk mengurangi beban komputasi, diantaranya dengan mengurangi sejumlah aturan dalam logika fuzzy. Mengurangi
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Darmawati, Darmawati. "Proses Pendiagnosaan Penyakit Menggunakan Logika Fuzzy Dengan Metode Mamdani." SAINTIFIK 3, no. 2 (2017): 161–70. http://dx.doi.org/10.31605/saintifik.v3i2.156.

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Logika fuzzy merupakan cabang dari logika klasik. Logika fuzzy lahir setelah logika klasik dianggap terlalu eksak untuk masalah nyata yang terkadang begitu kompleks. Salah satunya adalah proses pendiagnosaan penyakit, yang menjadi hal penting dan mendasar dalam kedokteran. Hal ini disebabkan pengambilan tindakan terapi dan pengobatannya berdasarkan pada hasil diagnosa itu. Dengan bantuan Fuzzy Expert System (FES) pada metode Mamdani, dapat diperoleh hasil perkiraan diagnosa untuk seorang pasien terhadap suatu penyakit dengan memperhatikan gejala penyakit tersebut. Metode Mamdani mempunyai empa
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Setiawan, Vinca, Mat Syai'in, Lilik Subiyanto, Isa Rachman, and Joko Endrasmono. "Implementasi Logika Fuzzy berbasis PLC dalam Otomatisasi Hydrocyclone dan Kontrol Level Tangki PT. X." Jurnal Elektronika dan Otomasi Industri 10, no. 2 (2023): 146–55. http://dx.doi.org/10.33795/elkolind.v10i2.3206.

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Penelitian ini bertujuan untuk mengimplementasikan logika fuzzy berbasis PLC dalam otomatisasi hydrocyclone dan kontrol level tangki di PT. X. Hydrocyclone merupakan separator yang umum digunakan dalam industri pengolahan dan pemurnian bahan untuk pemisahan mekanis. Dalam pengoperasian hydrocyclone, pengendalian level tangki yang tepat sangat penting untuk memastikan kinerja optimal. PLC digunakan sebagai kontroler otomatis yang kompleks dan fleksibel. PLC Allen-Bradley 1756-L83EP dipilih sebagai kontroler dalam penelitian ini. Logika fuzzy, sebagai tingkatan logika yang lebih tinggi daripada
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Dissertations / Theses on the topic "Logika fuzzy"

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Píštěk, Tomáš. "Fuzzy logika a podpora rozhodování pro investiční záměr ve stavebnictví." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318122.

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This master's thesis focuses on the design and creation of a decision support tool for the investment property plan. The evaluation of real estate is based on fuzzy logic. The design and debugging of fuzzy models are done by using MATLAB, but the application is developed in Java.
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Hrnčířová, Jaroslava. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2007. http://www.nusl.cz/ntk/nusl-221522.

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This Master’s thesis analyses the problems connected with the selection of suitable supplier. It includes the proposal of the method of rating of suppliers. It can ensure the selection of optimal supplier for the firm.
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Naujokas, Žydrūnas. "Miglotai apibrėžtos situacijos įvertinimo modulio sudarymas ir tyrimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060606_114125-89567.

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The problem of the evaluation of fuzzy situations arises quite often in real life. Images, symbols, signals and so on usually are fuzzily described and can be considered as fuzzy situations. So the parameters, which characterize the fuzzy situation, are not only numerical ones, but verbal too, for example, an object can be described as "heavy, little and moves fast". It is difficult to decide something formally about the object with such characterization. Leasing companies meet this problem in contracts classification process too. Accordingly most leasing companies have own contracts classific
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Procházka, Tomáš. "Aplikace fuzzy logiky pro výběr dodavatelů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-224191.

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This diploma thesis deals with the selection of suppliers operating memory for the company Hon Hai Precision Industry Co., Ltd. (registered in the Czech Republic under the trade name Foxconn) using fuzzy logic.
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Procházka, Tomáš. "Aplikace fuzzy logiky pro výběr klientů." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232618.

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The thesis employs modern analysing and simulating methods. The thesis specifically deals with the practical use of fuzzy logic for selecting clients. The aim is to create a suitable system for listing submitted applications in a chronological order within a contributory company.
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Kremláček, Petr. "Možnosti využití fuzzy logiky ve firmách." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222128.

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Fuzzy logic is a complex tool for support for decision-making in various arrays of use. This thesis should analyze existing solutions in selected decision processes in companies and to bring more effective ways of decision-making using fuzzy logic in consequence.
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Sedlák, Martin. "Aplikace fuzzy logiky v pojišťovnictví." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224397.

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The dissertation looks into the problematic of evaluaing the customer's solvency. It specifically focuses on using the Fuzzy logic when calculating the correct value of the third party insurance, as it is a legal requirment by law in the Czech republic, applying to every motor vehical in use. The first part of the dissertation analyses existing calculation system. As there doesn't exist any unifed fiugre table, an indicative price list has been created by using accessible sources. This price list helped to optimalize variable quantity when inventing own model to be put in practice. Suggested s
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Paulová, Martina. "Vyhodnocení nabídek pomocí fuzzy logiky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241392.

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This diploma thesis deals with the evaluation of offers with the usage of fuzzy logic. It describes methods and processes of a model building. The aim is to make a decision – making model that helps a customer to make decisions between more properties.
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Pokorný, Tomáš. "Aplikace fuzzy logiky při hodnocení dodavatelů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224722.

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This diploma thesis deals with the design of models for rating of suppliers in public procurement tender. Describes used methods and procedures for the rating of suppliers using fuzzy logic and fuzzy sets. The goal is to design a functional and comprehensible model, possible to use repeatedly with small variations.
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Vaňková, Jana. "Vyhodnocení investic s využitím fuzzy logiky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241419.

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The thesis deals with the evaluation of investments in intangible fixed assets. The company VIKI, spol. s.r.o. is interested in a new storage space acquisition, and therefore the main objective is to choose the best offer by using fuzzy logic. Evaluation is done in Excel, particularly in the Visual Basic environment and in MATLAB. The output of the thesis is an easy to use form that can be reused for other possible offers.
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Books on the topic "Logika fuzzy"

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Böhme, Gert. Fuzzy-Logik. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-86785-9.

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Reusch, Bernd, ed. Fuzzy Logik. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79386-8.

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Kahlert, Jörg, and Hubert Frank. Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89197-6.

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Kahlert, Jörg, and Hubert Frank. Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-83760-8.

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Kosko, Bart. Fuzzy thinking: The new science of fuzzy logic. Hyperion, 1993.

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T. Atanassov, Krassimir. Intuitionistic Fuzzy Logics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48953-7.

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Veronesi, Massimiliano. Logica fuzzy: Teoria ed applicazioni. FrancoAngeli, 2001.

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Tanaka, Kazuo. An introduction to fuzzy logic for practical applications. Springer, 1997.

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Scheffels, Rolf. Fuzzy-Logik in der Jahresabschlußprüfung. Deutscher Universitätsverlag, 1996. http://dx.doi.org/10.1007/978-3-322-99456-1.

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Traeger, Dirk H. Einführung in die Fuzzy-Logik. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-99590-2.

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Book chapters on the topic "Logika fuzzy"

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Blieberger, Johann, Bernd Burgstaller, and Gerhard-Helge Schildt. "Fuzzy-Logik." In Springers Lehrbücher der Informatik. Springer Vienna, 2002. http://dx.doi.org/10.1007/978-3-7091-3774-1_11.

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Schildt, Gerhard H. "Fuzzy-Logik." In Springers Lehrbücher der Informatik. Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-3775-8_26.

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Schildt, Gerhard H. "Fuzzy-Logik." In Springers Lehrbücher der Informatik. Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-3775-8_7.

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Blieberger, Johann, Johann Klasek, Alexander Redlein, and Gerhard-Helge Schildt. "Fuzzy-Logik." In Springers Lehrbücher der Informatik. Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-4051-2_9.

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Brouër, Berend. "Fuzzy Logik." In Steuerungstechnik für Maschinenbauer. Vieweg+Teubner Verlag, 1995. http://dx.doi.org/10.1007/978-3-322-87192-3_3.

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Kramer, Oliver. "Fuzzy-Logik." In Informatik im Fokus. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-79739-5_5.

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Styczynski, Zbigniew A., Krzysztof Rudion, and André Naumann. "Fuzzy-Logik." In Einführung in Expertensysteme. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53172-3_6.

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Gottwald, Siegfried. "Logical Preliminaries." In Fuzzy Sets and Fuzzy Logic. Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-86812-1_1.

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Peschel, Manfred. "Fractal Logics Versus Fuzzy Logics." In Fuzzy Control. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1841-3_2.

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El Alaoui, Mohamed. "Nonclassical Logics." In Fuzzy TOPSIS. CRC Press, 2021. http://dx.doi.org/10.1201/9781003168416-2-2.

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Conference papers on the topic "Logika fuzzy"

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Suhariningsih, Suhariningsih, and Renny Rakhmawati. "PENERAPAN KONTROL LOGIKA FUZZY PADA SISTEM PENGERING IRISAN KRIPIK SINGKONG." In Seminar Nasional Instrumentasi, Kontrol dan Otomasi 2018. Pusat Teknologi Instrumentasi dan Otomasi ITB, 2019. http://dx.doi.org/10.5614/sniko.2018.24.

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van Krieken, Emile, Erman Acar, and Frank van Harmelen. "Analyzing Differentiable Fuzzy Implications." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/92.

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Combining symbolic and neural approaches has gained considerable attention in the AI community, as it is argued that their strengths and weaknesses are complementary. One trend in the literature are weakly supervised learning techniques that employ operators from fuzzy logics. They use prior background knowledge described in such logics to help training neural networks from unlabeled and noisy data. By interpreting logical symbols using neural networks (or grounding them), this background knowledge can be added to regular loss functions, hence making reasoning a part of learning. We investigat
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Moret-Bonillo, Vicente, Eduardo Mosqueira-Rey, and Samuel Magaz-Romero. "Implementing Fuzzy Logic with Quantum Computing." In VII Congreso XoveTIC: impulsando el talento científico. Servizo de Publicacións. Universidade da Coruña, 2024. https://doi.org/10.17979/spudc.9788497498913.56.

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In this paper we present our proposal for a fuzzy logic model based on Quantum Computing. After analyzing how logical connectives are constructed and applied in fuzzy logic, we research how Quantum Computing can provide a new model to manage fuzzy variables, mainly using superposition of states for the implementation of fuzzy information. A comparison between our proposal and several classical connectives is carried out, including negation, conjunction and disjunction. We prove that quantum fuzzy connectives present a proper behavior, manifesting the peculiarities of the quantum paradigm, whic
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Esteva, Francese, Lluis Godo, and Ricardo Oscar Rodriguez. "On the relation between modal and multi-modal logics over Łukasiewicz logic." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015703.

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Flaminio, Tommaso, Sandro Preto, and Sara Ugolini. "Reasoning about Probability via Continuous Functions." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/28.

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For functional representation in an algebraizable logic we mean a representation of the algebras of formulas of the logic by means of (possibly real-valued) functions. Functional representations have shown to be a key tool for the study of non-classical logics, since they allow to regard formulas as functions and, by means of them, to approach the study of typical proof theoretical properties of the logics by means of their functional semantics. In the realm of (algebraizable) fuzzy logics, possibly the most well-known result in this respect is McNaughton theorem that shows formulas of the inf
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Zhao, Jidi, and Harold Boley. "Combining Fuzzy Description Logics and Fuzzy Logic Programs." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.363.

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Kostrzycka, Zofia, and Marek Zaionc. "Quantitative Study of Fuzzy Logics." In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177858.

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Kondratenko, Nataliia R. "Applications Type-2 Membership Functions in Fuzzy Logic Systems Under Conditions of Uncertainty Input Data." In 16th IC Measurement and Control in Complex Systems. VNTU, 2022. http://dx.doi.org/10.31649/mccs2022.02.

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This work proposes fuzzy logics system with use of math apparatus of type-2 interval fuzzy sets. The present paper formulates the task of developing a formal approach, which would enable analyzing fuzzy systems in terms of their capability to describe uncertainties of input information using interval membership functions. In contrast with the type-1 fuzzy sets-based systems, which result in membership value in the form of a single digit, the type-2 fuzzy sets allow to obtain an interval of values of the final linguistic variable. This interval is the result of the uncertainties, which are pres
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Cerami, Marco, Angel Garcia-Cerdana, and Francesc Esteva. "From classical Description Logic to n-graded Fuzzy Description Logic." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584114.

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Konstantopoulos, Stasinos, and Angelos Charalambidis. "Formulating description logic learning as an Inductive Logic Programming task." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584417.

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Reports on the topic "Logika fuzzy"

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Borgwardt, Stefan, Marco Cerami, and Rafael Peñaloza. Subsumption in Finitely Valued Fuzzy EL. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.212.

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Aus der Einleitung: Description Logics (DLs) are a family of knowledge representation formalisms that are successfully applied in many application domains. They provide the logical foundation for the Direct Semantics of the standard web ontology language OWL2. The light-weight DL EL, underlying the OWL2 EL profile, is of particular interest since all common reasoning problems are polynomial in this logic, and it is used in many prominent biomedical ontologies like SNOMEDCT and the Gene Ontology.
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Borgwardt, Stefan, Felix Distel, and Rafael Peñaloza. Gödel Description Logics: Decidability in the Absence of the Finitely-Valued Model Property. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.199.

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In the last few years there has been a large effort for analysing the computational properties of reasoning in fuzzy Description Logics. This has led to a number of papers studying the complexity of these logics, depending on their chosen semantics. Surprisingly, despite being arguably the simplest form of fuzzy semantics, not much is known about the complexity of reasoning in fuzzy DLs w.r.t. witnessed models over the Gödel t-norm. We show that in the logic G-IALC, reasoning cannot be restricted to finitely valued models in general. Despite this negative result, we also show that all the stan
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Tailor, Sanjay. Fuzzy Logic. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada310470.

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Borgwardt, Stefan, and Rafael Peñaloza. Undecidability of Fuzzy Description Logics. Technische Universität Dresden, 2011. http://dx.doi.org/10.25368/2022.184.

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Fuzzy description logics (DLs) have been investigated for over two decades, due to their capacity to formalize and reason with imprecise concepts. Very recently, it has been shown that for several fuzzy DLs, reasoning becomes undecidable. Although the proofs of these results differ in the details of each specific logic considered, they are all based on the same basic idea. In this report, we formalize this idea and provide sufficient conditions for proving undecidability of a fuzzy DL. We demonstrate the effectiveness of our approach by strengthening all previously-known undecidability results
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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest
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Borgwardt, Stefan, and Rafael Peñaloza. Consistency in Fuzzy Description Logics over Residuated De Morgan Lattices. Technische Universität Dresden, 2012. http://dx.doi.org/10.25368/2022.188.

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Fuzzy description logics can be used to model vague knowledge in application domains. This paper analyses the consistency and satisfiability problems in the description logic SHI with semantics based on a complete residuated De Morgan lattice. The problems are undecidable in the general case, but can be decided by a tableau algorithm when restricted to finite lattices. For some sublogics of SHI, we provide upper complexity bounds that match the complexity of crisp reasoning.
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Meitzler, Thomas J., David Bednarz, E. J. Sohn, Kimberly Lane, and Darryl Bryk. Fuzzy Logic Based Image Fusion. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405123.

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Combs, James E. Advanced Control Techniques with Fuzzy Logic. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada604019.

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Bharadwaj, Arjun, and Jerry M. Mendel. Fuzzy Logic for Unattended Ground Sensor Fusion. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada444339.

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Almufti, Ali. Parallel Hybrid Vehicles using Fuzzy Logic Control. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada513229.

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