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"Diatara tiga atribut dasar yang dimiliki oleh citra, atribut bentuk memiliki peran yang paling penting dalam persepsi manusia. Hal ini disebabkan karena manusia akan sangat mudah mempersepsikan sesuatu dengan bentuknya, begitu pula dengan citra. Dengan kenyataan ini, bentuk objek dari citra dapat dijadikan kueri untuk mencari citra yang memiliki bentuk serupa dengan bentuk objek pada citra kueri. Beberapa aplikasi yang banyak menggukan metode ini antara lain bidang meteorologi, kedokteran, manufaktur, pendidikan dan lain-lain. Tugas Akhir ini mengimplementasikan prototipe sistem CBIR yang dapat mengenali atribut bentuk dari objek citra. Kueri yang digunakan dalam sistem ini adalah citra yang memiliki atribut bentuk sederhana.Metode yang digunakan untuk mendeskripsikan setiap citra objek dan kueri dalam penelitian ini adalah Fourier Descriptors. Sedangkan untuk memberi batasan penerimaan atas kesamaan antara citra objek dan kueri, penulis menggunakan fuzzy similarity measures. Prototipe sistem yang dihasilkan dari tugas akhir ini dapat melakukan tiga jenis pengenalan citra yaitu, pengenalan citra dengan objek sederhana tunggal, pengenalancitra dengan objek benda riil kompleks tunggal dan pengenalan citra dengan objek gabungan dua bentuk sederhana dengan tingkat akurasi 80,44%, 57,33% dan 77,67%. untuk setiap pengenalan citra."

"Fuzzy engineering and operations research? is the edited outcome of the 5th International Conference on Fuzzy Information and Engineering (ICFIE2011) held during Oct. 15-17, 2011 in Chengdu, China and by the 1st academic conference in establishment of Guangdong Province Operations Research Society (GDORSC) held on Oct. 20, 2011 in Guangzhou, China. The 5th ICFIE2011, built on the success of previous conferences, and the GDORC, first held, are major Symposiums, respectively, for scientists, engineers practitioners and Operation Research (OR) researchers presenting their updated results, developments and applications in all areas of fuzzy information and engineering and OR. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in Fuzziology and OR fields. The book contains 62 papers and is divided into five main parts : fuzzy optimization, logic and information, the mathematical theory of fuzzy systems, fuzzy engineering applications and soft computing methods, OR and fuzziology and guess and review."

"The present book includes a set of selected extended papers from the second International Joint Conference on Computational Intelligence (IJCCI 2010), held in Valencia, Spain, from 24 to 26 October 2010. The conference was composed by three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 236 submissions, from 49 countries, in all continents. After a double blind paper review performed by the Program Committee, only 30 submissions were accepted as full papers and thus selected for oral presentation, leading to a full paper acceptance ratio of 13%. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of IJCCI 2010."

"This book comprises the papers from Eurofuse 2011 Workshop on fuzzy methods for knowledge-based systems. The workshop is devoted to fuzzy methods for knowledge-based systems. And has the goal to bring together researchers and practitioners developing and applying fuzzy techniques in preference modelling and decision making in an informal atmosphere. This book contains the final revised manuscripts on the basis of which the program was put together."

"Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing with complicated nonlinear actuator dynamics. Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities such as time delay, friction, deadzone, and backlash that can be found in all industrial motion systems, plus a thorough development, rigorous stability proofs, and simulation examples for each design. In the final chapter, the authors develop a framework to implement intelligent control schemes on actual systems. Rigorous stability proofs are further verified by computer simulations, and appendices contain the computer code needed to build intelligent controllers for real-time applications. Neural networks capture the parallel processing and learning capabilities of biological nervous systems, and fuzzy logic captures the decision-making capabilities of human linguistics and cognitive systems."

"Penjejak panas merupakan suatu alat untuk mendeteksi dan menunjukkan suatu sumber panas di sekitarnya. Penjejak panas ini dapat pula menunjukkan suatu sumber panas yang bergerak. Pergerakkan sumber panas tersebut menyebabkan perubahan arah dari penjejak papas, sehingga diperlukan pengendali umpan balikk agar diperoleh basil yang diinginkan. Dalam tugas akhir ini digunakan pengendali berbasis logika fuzzy yaitu pengendali umpan batik yang mendasarkan pengendalinya pada teori logika fuzzy. Tujuan penerapan logika fuzzy tersebut adalah untuk memperbaiki respon sistem kendali dalam mencapai kestabilannya. Perangkat keras yang digunakan dalam tugas akhir ini terdiri dari tiga bagian yaitu bagian antarmuka PC, penggerak motor dan pendeteksi sensor. Antarmuka PC berfungsi untuk mengatur pengalamatan dan jalur data antara perangkat lunak dan perangkat keras. Pendeteksi sensor memberikan masukan pada perangkat lunak fuzzy, melalui antarmuka PC, kemudian penggendali fuzzy memberikan keluaran pada pernggerak motor. Dalam analisa respon keluaran sistem dipakai parameter setling time, persen overshoot, steady state error dan kestabilan sistem. Selain itu dianalisa juga perubahan parameter dalam sistem logika fuzzy serta perubahan waktu sampling pada slat ini. Hasil analisa menunjukkan bahwa pemakaian pengendali logika fuzzy dapat memperbaiki tanggapan respon sistem kendali penjejak panas. Aplikasi penjejak panas ini dapat digunakan sebagai hulu rudal pengejar pangs, pendeteksi letak sumber kebakaran dan lain sebagainya."