scholarly journals MULTI-LAYER INFERENCE FUZZY TSUKAMOTO DETERMINING LAND SUITABILITY CLASS OF COCOA PLANTS

2021 ◽  
Vol 14 (1) ◽  
pp. 1-10
Author(s):  
Iin Intan Uljanah ◽  
Shofwatul Uyun
Keyword(s):  
Theobroma Cacao ◽  
Weighted Average ◽  
Land Suitability ◽  
Linguistic Variables ◽  
Inference Process ◽  
The Third ◽  
Inference Engines ◽  
Growth Requirements ◽  
Accuracy Level ◽  
Input Variables

Determining the land suitability class of plants specifically cocoa (Theobroma cacao) is significant to do because each plant has a different characteristic of growth. This research aims at implementing the algorithm to determine the land suitability class of cocoa plants using the Multi-Layer Inference Fuzzy Tsukamoto (MLIFT). This research uses 18 input variables including 15 non-linguistic variables or crisp and the rest are linguistic ones or fuzzy as the data of growth requirements of cocoa plants. Generally, the algorithm used consists of three main steps those are fuzzification, Tsukamoto inference machine, and defuzzification consisting of three layers. The first layer covers seven inference engines, while each of the second and the third ones only consists of one inference engine. The concept of inference process in Fuzzy Tsukamoto is calculating the weighted average of each result of the  nference process. Based on the testing result, it can be concluded that the multi-layer inference Fuzzy Tsukamoto for determining the land suitability class of cocoa plants has an accuracy level amounted 97%.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KONSENTRASI BIDANG ILMU EKONOMI MENGGUNAKAN METODE WEIGHTED AVERAGE DAN FUZZY FIS TSUKOMOTO ( Studi Kasus Program Magister Manajemen IIB Darmajaya )

2019 ◽  
Vol 19 (2) ◽  
pp. 167-179
Author(s):  
Suci Mutiara ◽  
Yulmaini - ◽  
RZ Abdul Aziz
Keyword(s):  
Decision Support ◽  
Human Resources ◽  
Average Method ◽  
Weighted Average ◽  
Management Program ◽  
Test Results ◽  
Weighted Average Method ◽  
The Third ◽  
Input Variables ◽  
The Right

Postgraduate IIB Darmajaya in Management program in its curriculum offers concentration subjects in the third semester. Concentrations in the field of economics are grouped into three concentrations namely marketing, human resources (HR) and finance (Finance). In the third-semester students are required to choose one concentration of the field of economics according to their competence. But the obstacle is often found in the choice of concentration in the field of economics is that many students still unable recognize their interests and abilities. Besides, many students who choose the concentration in the field of economics only follow the most specialization, but do not follow based on their abilities. According to that, it requires the tool to able to provide decision support in term of selecting concentrations based on predetermined considerations. The methods used in solving this problem are Weighted Average Method and Tsukomoto Fuzzy FIS Method with 4 (four) input variables and 3 (three) output variables. Input variables consist of subject values, interest values, motivation values , and abilities. While the output variable consists of marketing concentration, human resources (HR) and finance (Finance) The sample was taken from second semester students of Master of Management.The test results show that the recommendation for the selection of the right concentration for these students is Financial specialization with a Defuzzification value of 65.91 higher than Marketing and Human Resources specialization which is 64,69 and 64,59, respectively Keywords: Decision Support System, Weighted Average Method, Tsukomoto Fuzzy FIS Method, Concentration

scholarly journals Performance of Cans Classification System for Different Conveyor Belt Speed using Naïve Bayes

2020 ◽  
Vol 5 (4) ◽  
pp. 111
Author(s):  
Yulia Resti ◽  
Firmansyah Burlian ◽  
Irsyadi Yani
Keyword(s):  
Classification System ◽  
Naive Bayes ◽  
Conveyor Belt ◽  
Original Model ◽  
Model Based ◽  
Accuracy Level ◽  
Conveyor Belts ◽  
Sorting Process ◽  
Input Variables

The classification system in the sorting process in the can recycling industry can be made based on digital images by exploring the basic color pixel values ​​of images such as R, G, and B as variable inputs. In real time, the classification of cans in the sorting process occurs when cans placed on a conveyor belt move at a certain speed. This paper discusses the performance of can classification systems using the Naïve Bayes method. This method can handle all types of variables, including when all variables are continuous. Two types of conveyor belts are designed to get different speeds, and all images of the cans are captured on both conveyor belts. Two models of Bayes naive are built on the basis of the different distribution assumptions; the original model (all Gaussian distributed) and the model based on the best distribution. Performance of the classification system is built by dividing data into the learning data and the testing data with a composition of 50:50 in which each data is designed into 50 groups with different percentages on each type of cans using sampling technique without replacement. The results obtained are, first, the speed of the conveyor belt when capturing an image affects the pixel values of red, green, and blue and ultimately affects the results of the classification of cans. Second, not all input variables are Gaussian distributed. The classification system was built using assumption the best distribution model for each input variable has the better average accuracy level than the model that assumes all input variables are Gaussian distributed, and the accuracy level of classification on the first speeds of conveyor belt with a gear ratio of 12:30 and a diameter of 35 mm has an accuracy that is better than the other speed, both on the original model and the model based on the best distribution. However, it is necessary to test more statistical distribution models to obtain significant results.

Hybrid Balanced Justified Treynor ratio

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saeid Tajdini ◽  
Mohsen Mehrara ◽  
Reza Tehrani
Keyword(s):  
Regime Switching ◽  
Weighted Average ◽  
First Grade ◽  
Weighted Averaging ◽  
Markov Switching Model ◽  
Final Model ◽  
Content Type ◽  
Switching Model ◽  
The Third ◽  
Markov Regime Switching Model

PurposeRisk and return are the most important components in the financial and investment world and the existence of a better balance between them with the goal of the best solution for investing in different assets has always been studied and discussed by researchers. For this purpose in this study introduced the Hybrid Balanced Justified Treynor ratio (HBJTR) criterion.Design/methodology/approachThis study introduced the HBJTR criterion, which has three major attributes, including combination of both the frequency and severity of the risk using Markov regime switching model which was modeled on the Justified Beta (Jßi). The second is the merger of data of both the cycles of boom and recession, which was modeled on the Hybrid Justified Treynor Ratio (HJTR). The third was the balancing act in two periods of boom and recession, which was introduced on the HBJTR model.FindingsBased on a weighted averaging of the Justified Treynor ratio of both the cycles of boom and recession, which was introduced by the HJTR term in this study, the superiority in the first grade related to the two indexes were sugar index (0.0096) and insurance index (0.0053). Finally, using the final model in this study, namely HBJTR, the overall advantage was the defensive index, i.e. the insurance index of 1.23.Originality/valueIn other words, the HBJTRi criterion consists of three steps: first, the Justified Beta (Jßi) and Justified Treynor ratio of each index using two regimes of Markov switching model were calculated for each of the cycles of boom and recession separately according to formulas 8 and 9. In the second step, the weighted average was taken from both Justified Treynor ratios of boom and recession cycles, which was called the HJTR. In the third step, to calculate the HBJTR criterion

scholarly journals Impacts of the Qinghai–Tibet Railway on Accessibility and Economic Linkage of the Third Pole

2018 ◽  
Vol 10 (11) ◽  
pp. 3982 ◽  
Author(s):  
Shicheng Li ◽  
Jian Gong ◽  
Qinghai Deng ◽  
Tianyu Zhou
Keyword(s):  
Sustainable Development ◽  
Travel Time ◽  
Eastern China ◽  
Weighted Average ◽  
Spatial Disparity ◽  
The Sustainable Development ◽  
Capital Cities ◽  
The Third ◽  
Average Travel Time ◽  
Economic Linkages

Constructing the Qinghai–Tibet Railway (QTR) was a landmark project and was beneficial to the sustainable development of the Third Pole. To understand the sustainable development of remote regions by the provision of railway, we studied the QTR’s impact on accessibilities and economic linkages for four cities in the Third Pole, Xining, Golmud, Nagqu, and Lhasa, and between these four cities and 29 capital cities in mid-eastern China. First, employing average shortest travel time (ASTT) and weighted average travel time (WATT) as indicators, we calculated the railway-based accessibilities for June 2006 and January 2013. Then, using a gravity model, railway-based economic linkages were determined. The results demonstrate that: (i) ASTT for Xining–Golmud decreased by 4.14 h from June 2006 to January 2013. Both ASTT and WATT indicated that the accessibilities of the four cities and between these four cities and 29 capital cities in mid-eastern China improved significantly, and the spatial disparity in accessibility for the four cities decreased, which increased the balance and sustainability of the transportation system; (ii) the average contribution rate of the QTR to improving economic linkages for six routes among the four cities was 25.29%, with the Xining–Nagqu and Nagqu–Lhasa linkages improving most significantly; (iii) the QTR strengthened economic linkages between the four cities and mid-eastern cities. Because of the QTR, the economic linkages between the four cities and 29 capital cities increased 27.58% on average. The spatial disparity in interurban economic linkages also decreased. Transporting products from Tibet should be promoted to strengthen the sustainability of economic growth.

ITC Limited: Decoding Business Segment Betas

2019 ◽  
Vol 23 (02) ◽  
pp. 203-235
Author(s):  
Shalini Talwar ◽  
Anmol Garg
Keyword(s):  
Average Cost ◽  
Cost Of Capital ◽  
Investment Decisions ◽  
Weighted Average ◽  
Extensive Discussion ◽  
Entire Process ◽  
The Third ◽  
The Future

OCV was seeking to improve its processes and enhance the skills of its analysts so as to provide valuable solutions for their clients in terms of the issues related to the profitability and risk of their existing business portfolios as well as the proposed new projects. A team was formed to evaluate if breaking down the weighted average cost of capital (WACC) to the divisional level could improve the quality of investment decisions by multi-division firms. ITC was chosen to analyse the entire process of breaking down WACC to the divisional level. The team had three distinct tasks to undertake. The first was the calculation of the divisional WACC for different business segments of ITC, the second was an extensive discussion on the issues that could arise in the complex computations, and the third was to take a final call on whether the breaking down of WACC to the divisional level would really add value to the future investment decisions.

scholarly journals Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1226 ◽  
Author(s):  
Mohammed Falah Allawi ◽  
Faridah Binti Othman ◽  
Haitham Abdulmohsin Afan ◽  
Ali Najah Ahmed ◽  
Md. Shabbir Hossain ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Prediction Accuracy ◽  
Evaporation Rate ◽  
Climatic Conditions ◽  
Support Vector ◽  
Time Increment ◽  
Accuracy Level ◽  
Increment Rate ◽  
Input Variables ◽  
The Impact

The current study explored the impact of climatic conditions on predicting evaporation from a reservoir. Several models have been developed for evaporation prediction under different scenarios, with artificial intelligence (AI) methods being the most popular. However, the existing models rely on several climatic parameters as inputs to achieve an acceptable accuracy level, some of which have been unavailable in certain case studies. In addition, the existing AI-based models for evaporation prediction have paid less attention to the influence of the time increment rate on the prediction accuracy level. This study investigated the ability of the radial basis function neural network (RBF-NN) and support vector regression (SVR) methods to develop an evaporation rate prediction model for a tropical area at the Layang Reservoir, Johor River, Malaysia. Two scenarios for input architecture were explored in order to examine the effectiveness of different input variable patterns on the model prediction accuracy. For the first scenario, the input architecture considered only the historical evaporation rate time series, while the mean temperature and evaporation rate were used as input variables for the second scenario. For both scenarios, three time-increment series (daily, weekly, and monthly) were considered.

scholarly journals Penerapan Fuzzy Mamdani Dalam Menentukan Pencapaian Keberhasilan Mengajar Guru MI Mambaul Ulum Al-Amin Sampit

2021 ◽  
Vol 6 (1) ◽  
pp. 9
Author(s):  
R Rahmawati
Keyword(s):  
Fuzzy Sets ◽  
Achievement Level ◽  
Output Variable ◽  
Centroid Method ◽  
The Third ◽  
Input And Output ◽  
Processing Data ◽  
Teacher Success ◽  
Input Variables ◽  
Certain Answers

Current problems often do not have certain answers. The use of fuzzy mamdani logic to determine a level of achievement of the success of the teacher in teaching students at MI Mambaul Ulum Al Amin Sampit is the content of this paper. The problem will be solved by determining the level of achievement of the teacher's success in teaching students, if only two input variables are used, namely the teacher and also the value. So the first thing to solve the problem of the level of achievement of teacher success in teaching through the fuzzy mamdani method is to determine the input and output variables of a firm set. The second thing is changing the input variables into fuzzy sets through fuzzyfication. The third thing is processing data from fuzzy sets using the maximum system. The last or fourth thing is changing the results issued into a firm set through defuzzyfication with the centroid method, so the results are as desired in the output variable. The calculation of fuzzy mamdani results in an achievement level of success for MI teachers with a teacher variable value of 55 and a variable value of 80

scholarly journals Analysis of Land Suitability for the Development of Porang (Amarphopallus ancophillus ) Plants in Lewa Sub-Regency, East Sumba Regency

2022 ◽  
Vol 9 (1) ◽  
pp. 49-55
Author(s):  
Indrayani Rambu Apu ◽  
Uska Peku Jawang ◽  
Marten Umbu Nganji
Keyword(s):  
Plant Growth ◽  
Water Availability ◽  
Nutrient Retention ◽  
Land Suitability ◽  
Limiting Factors ◽  
Matching Method ◽  
Dry Land ◽  
Growth Requirements ◽  
Overlay Method ◽  
Erosion Hazards

Lewa sub-district is one of the sub-districts in East Sumba Regency, which has dry land that can be maximized for the development of porang plants and development purposes; information on the potential of porang plantations is needed. This study aimed to determine the biophysical characteristics of the land and the land suitability class of porang plants. The analytical method used was the matching method by comparing the land characteristics and plant growth requirements and the overlay method. The matching results show that the land characteristics in Lewa Subdistrict are class S1 (Very suitable), covering an area of 26.220,209 ha and Class S2 (quite suitable), covering an area of 3.608,523 ha. Limiting factors in this area are water availability (OA) such as drainage, nutrient retention (nr) such as CEC and pH, and erosion hazards (eh) such as slope.

scholarly journals Cardiff English: A Real Time Study of Stability and Change between Childhood and Mid-Adulthood

2015 ◽  
Vol 12 (2) ◽  
pp. 53-77
Author(s):  
Inger Margrethe Mees ◽  
Christina Høøck Osorno
Keyword(s):  
Young Adults ◽  
Real Time ◽  
Panel Study ◽  
Time Study ◽  
Linguistic Variables ◽  
Stylistic Variation ◽  
Stability And Change ◽  
The Third ◽  
Over Time ◽  
Made In

This article describes a real time panel study of a small number of working and middle class female speakers recorded in Cardiff at three points in time over a period of 35 years. The first recordings were made in 1977 when the informants were ten years old. The second date from 1990 when they were young adults, and the third from 2011 when they had entered into midadulthood. The linguistic variables investigated were h-dropping and the realisation of /r/ as an approximant or tap. Three issues were addressed. First, the two variables were categorised into indicators or markers/stereotypes on the basis of social and stylistic variation. This served as a basis for the second question, which was to discover if the patterns of change over time were in accordance with those predicted by the literature, with indicators remaining stable and markers/stereotypes being age-graded. Finally, we looked at individual variation.

scholarly journals Statodynamic disturbances of functions as one of the reasons for the accumulated disability of the population in the Rostov region

2021 ◽  
Author(s):  
I. G. Berezin ◽  
L. A. Yakimenko ◽  
F. V. Logvin ◽  
A. D. Nasytko
Keyword(s):  
Weighted Average ◽  
Statistical Processing ◽  
People With Disabilities ◽  
Disabled Persons ◽  
Disability Assessment ◽  
Age Group ◽  
Male Population ◽  
The Third ◽  
Rostov Region ◽  
Severity Of Disability

In the course of the study, it was possible to identify the weighted average values of the burden of static-dynamic diseases among the female and male population of young age. A continuous study was carried out in 2020 on the basis of the Main Bureau of Medical and Social Expertise in the Rostov Region. In the course of the work, a database was compiled on the accumulated disability in the Rostov region for people aged 18–45 years (23,248 cases). In the course of the study, five age-sex groups were identified: 1) 18–25 years old, 2) 26–30 years old, 3) 31–35 years old, 4) 36–40 years old, 5) 41–45 years old. The study of indicators of a separate age group included the calculation of the frequency of accumulated disability, assessment of the structure of the contingent, taking into account the causes and severity of disability. Statistical processing of the data obtained was carried out by comparing the average values in the Statistica 10 application program. In the first studied age group, the incidence of accumulated disability is 87.9 cases per 10 thousand of the population, among them 17.7 cases per 10 thousand of the population are people with disabilities. statodynamic disturbances (20.1%). In the second group, the frequency of general disability is 70.9 cases per 10 thousand of the population, among them 17.0 cases per 10 thousand of the population are people with disabilities with staticdynamic disorders (24.0%). In the third group, the incidence of accumulated disability is 119.1 cases per 10 thousand of the population, among them 31.4 cases per 10 thousand of the population are disabled persons with static-dynamic disorders (26.4%). In the fourth group, the incidence of accumulated disability is 182.0 cases per 10 thousand of the population, among them 54.7 cases per 10 thousand of the population are people with disabilities with static-dynamic disorders (30.0 %). In the fifth group, the frequency of general disability is 276.2 cases per 10 thousand of the population, among them 82.9 cases per 10 thousand of the population are people with disabilities with static-dynamic disorders (30.0 %). Thus, the indicator of accumulated disability with statodynamic disorders is higher in the fifth age-sex group of the study (82.9 cases per 10 thousand population); in the structure of the severity of disability, the third group prevails. 

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