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

scholarly journals Analyzing the risk factors of private–public partnerships for water supply projects using fuzzy synthetic evaluation: a case study of Iranian water supply projects

2017 ◽  
Vol 18 (3) ◽  
pp. 1005-1019
Author(s):  
Jalal Rezaeenour ◽  
Mohammad Mousavi-Saleh ◽  
Abdol Rahman Kolahkaj
Keyword(s):  
Risk Factors ◽  
Water Supply ◽  
Risk Level ◽  
Fuzzy Synthetic Evaluation ◽  
Effect Analysis ◽  
Fmea Method ◽  
Level Of Risk ◽  
Overall Risk ◽  
Synthetic Evaluation

Abstract To compensate for the lack of funds for investment in private sector and infrastructure projects, governments may propose public–private partnerships (PPPs) to be able to use share capital and establish the necessary infrastructure of the country. The current study was undertaken to identify and determine the risk factors in PPPs for water supply projects in Iran. After identifying the risk factors using failure mode and effect analysis (FMEA), the risk priority number of each was assessed. This identified the most critical risk factors, which were then categorized into experimental, legal, financial, and technological subcategories. The fuzzy synthetic evaluation (FSE) technique and FMEA method were then blended and the FSE technique was modified for measuring the overall risk level. The computational results show that the levels of risk were ranked as follows (highest to lowest): financial, experimental, technological and legal. The level of risk in the financial subcategory was 6.11, in the experimental was 6.05 and in the technological and legal was 5.94 and 5.83, respectively. The overall risk level in PPPs for Iranian water supply projects considering linguistic variables as the criteria was 5.98, which is high. This level of risk confirms the applicability and suitability of the model.

scholarly journals The Performance of Fuzzy Logic How to Fixed The Risk Level of Bug System as Hard-working Quality Software

2019 ◽  
Vol 2 (2) ◽  
pp. 80-91
Author(s):  
Agus Pamuji
Keyword(s):  
Fuzzy Logic ◽  
Risk Level ◽  
Critical Levels ◽  
End User ◽  
Software Production ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Almost All ◽  
Working Quality

The quality of software production is considered important when testing which is involves several IT Staff such as IT development, operation, end-user. One of the issue was having today is a bug processing where it almost all platforms too difficult to avoid from the bugs and even might be full of the risks. In the main of Our focus is on how to measure and attempt to reduce the number were indicated as bugs from low up to critical levels. Furthermore, we were propose with a method already known as a fuzzy logic approach to measure the severity of the presence of bugs during the testing process. there are 20 thousand even more bugs have been reported and be supposed removed with the fuzzy logic approach with various levels. As The end result is that we have found a gradual 20% reduction in various criteria in the testing process as experimentally. Therefore, fuzzy logic is considered as  effective enough to be able to improve existing methods and support to reduce bugs significantly.

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 ESTIMATING THE POLLUTION RISK OF CATCHMENT BASIN IN RIVERS WITH THE FUZZY LOGIC THEORY

2019 ◽  
Vol 8 (3) ◽  
Author(s):  
Elnaz Khademi ◽  
Ramin Asadpour Amazajardi
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Fuzzy Logic ◽  
Human Activities ◽  
Catchment Basin ◽  
Pollution Risk ◽  
Underground Waters ◽  
Arc Gis ◽  
Fuzzy Logic Theory ◽  
Gis Software

One of the most important problems associated with water is the pollution of surface and underground waters mainly due to human activities that currently threatens many of the world's water resources. The study area of Sabalan dam basin is on Gharasu located at 30 km (air gap) in Northeast of Meshkinshahr (Ardebil province) on the northern slopes of Mount Sabalan. This study was conducted to identify, classify and manage the pollution risk of Sabalan dam. The overall objective of this study was to predict possible events and identify risk factors, potentials and risks in pollution incidents at Sabalan Dam using URSM methods and fuzzy logic in MATLAB, Fuzzycell and Arc Gis software environments. The results of the URSM method showed that the catchment basin has a pollution risk of 0.43-0.66. The results of this method and fuzzification in the MATLAB software revealed that the basin has the risk in the range of 0.16 to 0.76. Therefore, it can be concluded that using the URSM method and its integration with fuzzy logic in risk assessment can reduce the disadvantages of other methods such as ursm (alone).

scholarly journals Improving the quality of automated VIS–grading of Scots pine seeds using fuzzy logic algorithm

2021 ◽  
Vol 875 (1) ◽  
pp. 012032
Author(s):  
A I Novikov ◽  
N G Vovchenko ◽  
S V Sokolov ◽  
T P Novikova ◽  
D N Demidov ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Scots Pine ◽  
Wavelength Region ◽  
Optical Signal ◽  
Seed Color ◽  
Color Classification ◽  
Fuzzy Logic Algorithm ◽  
Voronezh Region ◽  
Fuzzy Logic Theory

Abstract The automation of Scots pine seeds grading in the visible wavelength region – VIS-grading – is promising for conducting breeding and genetic experiments. This will reduce time costs and increase the accuracy of seed color classification compared to organoleptic techniques. When controlling VIS-grading, it is necessary to accurately detect and process the optical signal reflected from a single seed. The signal is based on the wavelength and amplitude of the optical beam. Earlier, using a spectrometer for Scots pine seeds from a natural stand of the Pavlovsky district of the Voronezh region, Russia, the boundaries of three spectrometric groups were established. In the real VIS-grading process, it is necessary to take into account the probabilistic deviations of random values of wavelengths and amplitudes. Therefore, on the basis of the Mamdani fuzzy logic theory developed an analyzing algorithm for controlling the VIS-grading quality. The algorithm consists of a sequence of logical terms that clearly define the specified VIS-grading seeds spectrometric parameters by a combination of wavelength and amplitude. The efficiency of Scots pine seeds VIS-grading using the algorithm is 98.9%.

scholarly journals WILLINGNESS TO PAY (WTP) JASA LINGKUNGAN SUMBERDAYA AIR TANAH SUMUR DI KOTA KUPANG

2020 ◽  
Vol 10 (2) ◽  
pp. 173-182
Author(s):  
Aplonia Bani ◽  
Fredrik Benu ◽  
Herry Kotta
Keyword(s):  
Risk Factors ◽  
Water Resources ◽  
Willingness To Pay ◽  
Water Discharge ◽  
Water Withdrawal ◽  
Risk Level ◽  
Environmental Services ◽  
Well Water ◽  
Low Level ◽  
Level Of Risk

Abstract: This study using an interview for survey, respondents were asked a series of questions about their willingness to pay for environmental services as hypothetical research, which would assist in the conservation of water resources. Willingness to pay (WTP) for the owners who commercialized the well water using bidding game methods with offers of different starting points was asked to the respondents for the Groundwater Basin (CAT) Tabun-Bakunase-Haukoto-Sikumana, CAT Kupang-Oesapa-Tarus, CAT Penfui and Baumata, CAT Bolok-Tenau-Alak-Namosain. The results of the study showed that the value of Willingnes To Pay of the well owner was commercialized from 17 respondents who were willing to pay in the amount of Rp. 518.209 or Rp.6,100/m3. The average cost of production around Rp. 146.650/day, with the amount of discharged water that taken is 4.175 m3, with a cost per 5 m3 is Rp. 3.482, resulting in Rp.30.997 surplus for the producer. Consumer Respondent surplus towards payment of environmental services for commercialized wells water resources is Rp. 496.000,. The consumption of commercialized well water resources in Kupang on CAT Bolok-Tenau-Alak-Namosain is 150 m3/day or 54.750 m3/year, CAT Tabun-Bakunase-Haukoto-Sikumana is 2.600 m3/day or 949.000 m3/year, CAT Kupang- Oesapa-Tarus is 1.125 m3/day or 410.625 m3/year, CAT Penfui is 300 m3/day or 109.500 m3/year, and the amount of water withdrawal is less than the potential of groundwater in each CAT, so there is a surplus of water discharge that taken on CAT in the city of Kupang. The factors that influence the agreed response based on the test results indicate that the risk factors that have a low level of risk are Age (X1), Education (X2), Occupation (X3), Cost (X5), while risk factors that have a strong level of risk are Acceptance (X4) and Environmental Services Knowledge (X6). For Age risk factors (X1), Education (X2), Employment (X3), Costs (X5) have a low level risk level, this means that these factors are not risk factors that can pose a high risk on the willingness of the respondents to pay (WTP). While Acceptance (X4) and Environmental Services Knowledge (X6) have strong risk factors which means that these factors pose a strong risk to the willingness of respondents to pay (WTP), so that a significant effect is partially between acceptance and knowledge of environmental services to willingness of well owners in paying for groundwater environmental services that are used as economic goods. Acceptance and knowledge of environmental services have a significant effect because the greater the acceptance and knowledge of environmental services, the greater the willingness to pay for environmental services.

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 Fuzzification Based Osteoporosis Prediction Model

2021 ◽  
Vol 10 (6) ◽  
pp. 28-31
Author(s):  
Shilpa Kumar ◽  
Shubangi D C
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Dual Energy ◽  
Literature Survey ◽  
Inference System ◽  
X Ray ◽  
The World

Osteoporosis is a disease in which bones become fragile and more likely to break. Osteoporosis can progress painlessly until it causes a bone fracture or a bone break. Dual Energy X-ray Absorptiometry (DEXA) is more costly and not accessible easily so we are using Fuzzy Inference system to predict osteoporosis. In this fuzzy logic, we collect risk factors and rules for osteoporosis and build a interface which take inputs and predicts if a person has osteoporosis. In the following Literature survey, we will take risk factors, rules, and ways to implement them. Around the world, 33% of women and 20% men over the age of 50 will suffer a fracture caused by Osteoporosis. Osteoporosis is a disease in which Bones become shallow and are fractured. If predicted before, quality of life will increase and severe surgery may be avoided.

scholarly journals Sistem Pakar Diagnosa Penyakit pada Sapi Berbasis Android

2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Yulyanto M.Kom
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Early Detection ◽  
Clinical Symptoms ◽  
Risk Level ◽  
Meat Production ◽  
Reproductive Disorders ◽  
Reproductive Disease ◽  
Risk Of Disease ◽  
The Impact

Handling reproductive disorders at the farm level is still lack due to the less information about the treatment of livestock which has a significant impact on decreasing of meat production. To reduce the impact of reproductive diseases, it is necessary to carry out early detection and treatment to prevent high losses and wider spread of disease. This article describes the application of an expert system that provides a means of consultation that uses an expert's reasoning process in solving complex problems regarding to cow reproductive health. In this study, the Tsukamoto Fuzzy method will be applied to help diagnosing the risk of disease in cattle based on six clinical symptoms. The result of this study is a mobile expert system that will conclude the risk level of endometriosis in cattle. This application is developed based on Android so that it is easy to use and it can be used by farmers to make a diagnosis independently. The result of this expert system testing indicates that this system can determine the level of endometritis risk of cow reproductive disease.�Keywords: expert system, android based, fuzzy logic, cow disease

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