Bulanik mantik sunum
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Eskişehir Osmangazi Üniversitesi Matematik-Bilgisayar bölümü yapay zeka dersinde yaptığım sunum...
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- Fuzzy logic has many applications from industrial process control to consumer products like washing machines and microwaves. It offers an intuitive way to model real-world ambiguities compared to mathematical or logic-based approaches.
Fuzzy control and its applications
Fuzzy logic is a form of logic that accounts for partial truth and vagueness. It is used in control systems and decision support systems. The document discusses the history of fuzzy logic and its applications in areas like automotive, robotics, manufacturing, medical, and more. Fuzzy logic controllers combine fuzzy linguistic variables and rules to automate tasks like speed control in vehicles and temperature control in air conditioners and washing machines.
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The document provides an overview of fuzzy logic and approximate reasoning. It discusses fuzzy sets and membership functions, including different types of membership functions like triangular, trapezoidal, and Gaussian. It also covers fuzzy set operations like union, intersection, and complement. T-norm operators for fuzzy intersection are defined. The document serves as an introduction to key concepts in fuzzy logic.
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Fuzzy logic mis
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What is Fuzzy Logic?
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Chapter 5 - Fuzzy Logic
Fuzzy logic is a flexible machine learning technique that mimics human thought by allowing intermediate values between true and false. It provides a mechanism for interpreting and executing commands based on approximate or uncertain reasoning. Unlike binary logic which can only have true or false values, fuzzy logic uses linguistic variables and degrees of membership to represent concepts that may have a partial truth. Fuzzy systems find applications in automatic control, prediction, diagnosis and user interfaces.
Application of fuzzy logic
Fuzzy logic is a form of logic that accounts for partial truth and intermediate values between true and false. It is used in control systems to mimic how humans apply fuzzy concepts like "cold" or "hot" temperature. Some key applications of fuzzy logic include temperature controllers, washing machines, air conditioners, and anti-lock braking systems. Fuzzy logic controllers use if-then rules to determine outputs based on fuzzy inputs and degrees of membership rather than binary logic.
Fuzzy Logic Seminar with Implementation
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Fuzzy logic
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Fuzzy logic ppt
Fuzzy logic is a method of reasoning that resembles human decision making by allowing for intermediate possibilities between yes and no or true and false. It is used in control systems like temperature controllers, anti-lock braking systems, washing machines, and air conditioners. Fuzzy logic applications can be found in areas like aerospace, automotive, defense, electronics, mining, robotics, securities, and industrial processes. The field of fuzzy logic continues to grow and provide opportunities to develop effective controllers for complex systems across many domains.
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Bulanik mantik sunum
- 2. KLASİK(ARİSTO) MANTIK HERHANGİ BİR ÖNERME CEVAP EVET HAYIR DOĞRU(1) YANLIŞ(0)
- 3. KLASİK(ARİSTO) MANTIK ● Kesinlik ifade eder. ● Bilgisayar Bilimlerinde 1-0 kullanılır ● ikili mantık olarak da bilinir. ÖRNEKLER: Türkiye’nin tek 4 yıldızlı futbol takımı Galatasaray’dır. Türkiye’nin en büyük futbol takımı Galatasaray’dır. Bugünün tarihi 28.12.2016 Bulanık Mantık Öğrenmek zordur. DOĞRU(1) YANLIŞ(0) YANLIŞ(0) DOĞRU(1)
- 4. KLASİK(ARİSTO) MANTIK Gündelik hayatta klasik mantık yeterli olmamaktadır. Batuhan iyi bir bilgisayar bilimcisidir. -iyi bir bilgisayar bilimcisi nasıl tanımlanır? Bugün hava çok soğuk. -Soğuk ne demek. Ece çok güzeldir. -Kime göre güzel. Eren çok uzundur(188 cm). -NBA’de oynayanlar arasında belki de en kısadır.
- 5. Matematik modeller ne kadar ayrıntılı olurlarsa olsunlar gerçeği yansıtamazlar, ne kadar gerçekçi olurlarsa olsunlar o kadar doğa olaylarını tam temsil edemezler (Einstein).
- 6. Gündelik hayatta,sorulan bir soruya cevap verirken ; ● Ortamın şartlarına göre cevaplarımız değişkenlik göstermekte ve net cevaplar verilememektedir. ● Örneğin,Türkiye’de dana etini çok sevdiğini söyleyen Berk Can,Hindistan’da vejetaryen olduğunu söylemek zorunda kalabilir. Azeri Türk Bilim adamı olan “Lütfi Aliasker Zade (Lotfi A. Zadeh)” bu konuyla ilgili bir çığır açarak BULANIK MANTIK’ın temellerini atmıştır.
- 7. BULANIK MANTIK(FUZZY LOGIC) * Kesin sonuçların olmadığı * Cevabın 0 veya 1 olmayıp, * 0 ile 1 arasında bir değer olduğu mantık tipidir.
- 8. BULANIK MANTIK(FUZZY LOGIC) Temel Özellikleri: ● Bulanık mantıkta her şey [0,1] aralığında belirli bir dereceyle gösterilir. ● Bulanık mantıkta bilgi büyük,küçük,çok az,çok sıcak gibi sözel ifadeler şeklindedir. ● Her mantıksal sistem bulanık olarak ifade edilebilir. ● Bulanık mantık matematiksel modeli çok zor elde edilen sistemler çok uygundur. ● Bulanık sistemler eğitilebilir. ● Bulanık Mantıkta bir önerme aynı zamanda hem doğru hem de yanlış olamaz denilemez.
- 9. NASREDDİN HOCA VE BULANIK MANTIK
- 11. Klasik Mantık Bulanık Mantık A veya A Değil A ve A Değil Kesin Kısmi Hepsi veya Hiçbiri Belirli Derecelerde 0 veya 1 0 ve 1 Arasında Süreklilik İkili Birimler Bulanık Birimler BULANIK MANTIK(FUZZY LOGIC)
- 12. BULANIK MANTIK AVANTAJLARI • İşleyişi insan düşünce tarzındadır. • Matematiksel modele ihtiyaç duymaz, doğrusal olmayan sistemlerde iyi sonuç verir. • Bulanık Mantık eksik tanımlı problemlerin çözümü için uygundur • Uygulanması oldukça kolaydır ve uygulamaların daha hızlı bir şekilde sonuca ulaşmasını sağlar.
- 13. BULANIK MANTIK DEZAVANTAJLARI • Kuralların uygun şekilde belirlenmesi için uzman deneyimine ihtiyaç duyar. Kuralları ve üyelikleri tanımlamak kolay olmayabilir. • Üyelik fonksiyonlarının belirlenmesinde kesin sonuç veren bir yöntem ve öğrenme yeteneği yoktur. En uygun yöntem deneme yanılmadır. Bu sebeple uzun zaman gerekebilir. • Kararlılık, gözetlenebilirlik ve denetlenebilirlik analizinin yapılamaması bu yöntemin en temel sorunudur.
- 14. BULANIK MANTIK İLE OTOMATİK VİTES DEĞİŞİMİ