Fuzzy Logic-Based Expert System for Evaluating Cake Quality of Freeze-Dried Formulations

2013 ◽  
Vol 102 (12) ◽  
pp. 4364-4374 ◽  
Author(s):  
Hjalte Trnka ◽  
Jian X. Wu ◽  
Marco Van De Weert ◽  
Holger Grohganz ◽  
Jukka Rantanen
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Freeze Dried ◽  
Cake Quality

An image analysis based expert system for assessing the quality of freeze-dried protein formulations

2012 ◽  
Author(s):  
Jukka Rantanen ◽  
Hjalte Trnka ◽  
Jian Wu ◽  
Marco van de Weert ◽  
Holger Grohganz
Keyword(s):  
Image Analysis ◽  
Expert System ◽  
Protein Formulations ◽  
Freeze Dried

scholarly journals Faults diagnosis and assessment of transformer insulation oil quality: intelligent methods based on dissolved gas analysis a-review

2015 ◽  
Vol 4 (1) ◽  
pp. 54 ◽  
Author(s):  
Ahmed Raisan ◽  
M.M Yaacob ◽  
Malik Abdulrazzaq Alsaedi
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Oil Quality ◽  
Electrical Power ◽  
Gas Analysis ◽  
Economic Losses ◽  
Dissolved Gases ◽  
Insulating Oil ◽  
Intelligent Methods

The search for determining accurate faults and assessing the oil quality of high voltage electrical power transformers for life-long maintenance is ever-demanding. The durability of transformers function is significantly decided by the excellence of its insulation which deteriorates over time due to temperature fluctuations and moisture contents. The accurate diagnoses of faults in early stages and the efficient assessment of oil quality using an intelligent program is the key challenges in protecting transformers from potential failures occur during operation to avoid economic losses. The dissolved gases analysis in oil is a reliable method in the diagnosis of faults and assessing the quality of insulating oil in transformers. Recently, application of artificial intelligence (AI) has included fuzzy logic, expert system (EPS), and artificial neural network (ANN), Expert system and fuzzy logic can take DGA standards. This paper represents the review most of the methods used to diagnose faults and assessment of insulating oil for transformers through the dissolved gases analysis DGA.

scholarly journals Sistem Pakar Diagnosa Pulmonary TB Menggunakan Metode Fuzzy Logic

2018 ◽  
Vol 5 (2) ◽  
pp. 228-236
Author(s):  
Nita Novianti ◽  
Denny Pribadi ◽  
Rizal Amegia Saputra
Keyword(s):  
Quality Of Life ◽  
Infectious Disease ◽  
Fuzzy Logic ◽  
Expert System ◽  
Web Applications ◽  
Control Program ◽  
Web Based ◽  
Pulmonary Tb ◽  
Fuzzy Logic Expert System

AbstrakTuberkulosis paru merupakan salah satu penyakit menular kronis. Di Indonesia penyakit ini termasuk satu prioritas nasional untuk program pengendalian penyakit karena berdampak luas terhadap kualitas hidup dan ekonomi, serta sering mengakibatkan kematian. Untuk itu, dalam penelitian ini akan dilakukan analisa terhadap penyakit tb paru menggunakan logika fuzzy (fuzzy logic). Dalam penelitian ini informasi tentang tb_paru didapat dari para pakar dengan melakukan wawancara dengan pakar. Berdasarkan uraian diatas maka dibuat sebuah aplikasi sistem pakar untuk mendiagnosa tb_paru menggunakan fuzzy logic. Aplikasi sistem pakar berbasis web untuk mendiagnosa penyakit tb paru merupakan kebutuhan dari asisten dokter dan masyarakat umum. Oleh karena itu agar mendapatkan nilai informasi yang tepat dan cepat aplikasi sistem pakar ini akan dalam bentuk website. Dari 7 gejala yang ditimbulkan oleh penyakit tb paru ini dalam perhitungan fuzzy logic di dapat sebanyak 128 rule dan untuk perhitungan persentase keakuratannya sendiri sebesar 70,33%. Pembuatan aplikasi ini akan sangat membantu dalam melakukan diagnosa terhadap penderita tb paru. Kata Kunci: Sistem Pakar, Fuzzy Logic,  Penyakit TB Paru,  Aplikasi Web AbstractPulmonary Tuberculosis is one of an infectious disease chronic. In indonesia this disease including one national priorities to control program disease due affect widely to the quality of life and economic , and often resulting in death. For it , in this research will analysis to a disease pulmonary TB use fuzzy logic. Based on the description above will be made an application expert system to diagnose pulmonary TB use fuzzy logic. Expert system application with web based for disease diagnose is the needs of an assistant docter and the general public. Therefore To make gain the value of the most appropriate information and rapid application expert system this is going to in the form of websites .Of 7 symptoms that were brought about by disease pulmonary tuberculosis this in the calculation of fuzzy logic in be some 128 rule and for percentage accurate of 70,33%. The making of the application it would be very helpful in doing the diagnosis against patients pulmonary tuberculosis.Keywords : Expert System, Fuzzy Logic, Pulmonary Tb, Web Applications

scholarly journals Sistem Pakar Diagnosa Pulmonary TB Menggunakan Metode Fuzzy Logic

2018 ◽  
Vol 5 (2) ◽  
pp. 228-236
Author(s):  
Nita Novianti ◽  
Denny Pribadi ◽  
Rizal Amegia Saputra
Keyword(s):  
Quality Of Life ◽  
Infectious Disease ◽  
Fuzzy Logic ◽  
Expert System ◽  
Web Applications ◽  
Control Program ◽  
Web Based ◽  
Pulmonary Tb ◽  
Fuzzy Logic Expert System

AbstrakTuberkulosis paru merupakan salah satu penyakit menular kronis. Di Indonesia penyakit ini termasuk satu prioritas nasional untuk program pengendalian penyakit karena berdampak luas terhadap kualitas hidup dan ekonomi, serta sering mengakibatkan kematian. Untuk itu, dalam penelitian ini akan dilakukan analisa terhadap penyakit tb paru menggunakan logika fuzzy (fuzzy logic). Dalam penelitian ini informasi tentang tb_paru didapat dari para pakar dengan melakukan wawancara dengan pakar. Berdasarkan uraian diatas maka dibuat sebuah aplikasi sistem pakar untuk mendiagnosa tb_paru menggunakan fuzzy logic. Aplikasi sistem pakar berbasis web untuk mendiagnosa penyakit tb paru merupakan kebutuhan dari asisten dokter dan masyarakat umum. Oleh karena itu agar mendapatkan nilai informasi yang tepat dan cepat aplikasi sistem pakar ini akan dalam bentuk website. Dari 7 gejala yang ditimbulkan oleh penyakit tb paru ini dalam perhitungan fuzzy logic di dapat sebanyak 128 rule dan untuk perhitungan persentase keakuratannya sendiri sebesar 70,33%. Pembuatan aplikasi ini akan sangat membantu dalam melakukan diagnosa terhadap penderita tb paru. Kata Kunci: Sistem Pakar, Fuzzy Logic,  Penyakit TB Paru,  Aplikasi Web AbstractPulmonary Tuberculosis is one of an infectious disease chronic. In indonesia this disease including one national priorities to control program disease due affect widely to the quality of life and economic , and often resulting in death. For it , in this research will analysis to a disease pulmonary TB use fuzzy logic. Based on the description above will be made an application expert system to diagnose pulmonary TB use fuzzy logic. Expert system application with web based for disease diagnose is the needs of an assistant docter and the general public. Therefore To make gain the value of the most appropriate information and rapid application expert system this is going to in the form of websites .Of 7 symptoms that were brought about by disease pulmonary tuberculosis this in the calculation of fuzzy logic in be some 128 rule and for percentage accurate of 70,33%. The making of the application it would be very helpful in doing the diagnosis against patients pulmonary tuberculosis.Keywords : Expert System, Fuzzy Logic, Pulmonary Tb, Web Applications

EXPERT SYSTEMS FUZZY DETERMINE COW’S SPERMATOZOAQUALITY WITH MAMDANI FIS METHOD IN BALAI INSEMINASI BUATAN DAERAH (BIBD) TUAH SAKATO PAYAKUMBUH

2017 ◽  
Vol 2 (2) ◽  
pp. 025
Author(s):  
Syopan Irawan ◽  
Devia Kartika ◽  
Dhio Saputra
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Expert Systems ◽  
Microscopic Examination ◽  
Calculation Method ◽  
Sperm Quality ◽  
Suitable Method ◽  
Macroscopic Examination

Sperm in cattle also known as cement/sperma. In cattle semen decomposition comprises several types and descriptions of the determination of the quality of spermatozoa in cattle. Cattle sperm quality is decisive in determining the quality of the next generation of cows. During an investigation of cement macroscopic and microscopic examination. Macroscopic examination is the examination outline cement without the need for complex tools, while the microscopic examination aims to see the condition of the cement deeper and requires a fairly complete tools. To determine the quality of cement needed a suitable method is using fuzzy logic with mamdani method that will be implemented in an expert system fuzzy. From the example calculations have been done, with the example of a 600 kg cow, age 30, feed 60, and motion 2. Calculation method Mamdani system produces quality output by 72, that its quality is good.

scholarly journals Rationalization of servicing reefer containers in sea port area with taking into account risk influence

2014 ◽  
Vol 21 (2) ◽  
pp. 76-85 ◽  
Author(s):  
Ludmiła Filina-Dawidowicz
Keyword(s):  
Risk Factors ◽  
Fuzzy Logic ◽  
Expert System ◽  
Container Terminals ◽  
Risk Level ◽  
Port Area ◽  
Sea Ports ◽  
Fuzzy Logic Theory ◽  
Level Of Risk

Abstract This paper is aimed at presentation of a set of methods for rationalization of servicing containerized refrigerated cargoes in sea ports. During servicing reefer containers in port container terminals, take place various combinations of risk factors which can lead to loss of quality merits of cargoes contained in them. In the paper the risk factors capable of influencing quality of cargoes during their servicing in sea port, are identified, and the elaborated model for assessing risk level with the use of assumptions of fuzzy logic theory, is presented. Also, a simulation of servicing reefer containers in port, was performed. Moreover a prototype of an expert system which makes it possible to take correct decisions on servicing reefer containers in sea port, depending on impact level of risk factors, was proposed

ESTIMATING GAS AND ROCK OUTBURST RISK ON THE BASIS OF KNOWLEDGE AND EXPERIENCE – THE EXPERT SYSTEM BASED ON FUZZY LOGIC

2014 ◽  
Vol 59 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Norbert Skoczylas
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Mining Industry ◽  
Automatic Assessment ◽  
Science Field ◽  
Second Stage ◽  
Two Stages ◽  
Outburst Hazard

Abstract The Author endeavored to consult some of the Polish experts who deal with assessing and preventing outburst hazards as to their knowledge and experience. On the basis of this knowledge, an expert system, based on fuzzy logic, was created. The system allows automatic assessment of outburst hazard. The work was completed in two stages. The first stage involved researching relevant sources and rules concerning outburst hazard, and, subsequently, determining a number of parameters measured or observed in the mining industry that are potentially connected with the outburst phenomenon and can be useful when estimating outburst hazard. Then, the Author contacted selected experts who are actively involved in preventing outburst hazard, both in the industry and science field. The experts were anonymously surveyed, which made it possible to select the parameters which are the most essential in assessing outburst hazard. The second stage involved gaining knowledge from the experts by means of a questionnaire-interview. Subjective opinions on estimating outburst hazard on the basis of the parameters selected during the first stage were then systematized using the structures typical of the expert system based on fuzzy logic.

Expert System for Quality Assessment of Electronic Book Exhibitions

2013 ◽  
pp. 32-39
Author(s):  
Svetlana V. Savkina
Keyword(s):  
Expert System ◽  
Quality Assessment ◽  
Electronic Book ◽  
Electronic Books ◽  
Comparison Of The Results

The article presents the results of testing the complex methodology of assessment of quality of electronic books exhibitions (EBE). The author describes the project of the expert system, allowing to implement the EBE assessment without the experts’ participation. There is given the comparison of the results of assessments, carried out by experts and by the expert system.

Comparative analysis of intelligent planning methods

2012 ◽  
Vol 9 (2) ◽  
pp. 53-57 ◽  
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Mobile Robots ◽  
Sensory Information ◽  
Working Environment ◽  
Planning Methods ◽  
Intelligent Planning

The main stages of solving the problem of planning movements by mobile robots in a non-stationary working environment based on neural networks, genetic algorithms and fuzzy logic are considered. The features common to the considered intellectual algorithms are singled out and their comparative analysis is carried out. Recommendations are given on the use of this or that method depending on the type of problem being solved and the requirements for the speed of the algorithm, the quality of the trajectory, the availability (volume) of sensory information, etc.

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