scholarly journals DETEKSI DINI PENYAKIT BALITA MENGGUNAKAN ALGORITMA SORENSEN BERBOBOT

2021 ◽  
Vol 9 (02) ◽  
pp. 60-67
Author(s):  
Nur Kharisa Umami ◽  
Setyawan Wibisono
Keyword(s):  
Expert System ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Comparison Results ◽  
Similarity Algorithm ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Case Based

There are still many parents who do not have sufficient understanding in terms of toddler disease. One way to provide education is the availability of a system that can be used for consultation based on the symptoms of illness experienced by toddlers and the actions needed to overcome them. The system that will be built is an expert system that can relatively provide suggestions for solutions to children's health problems using the Case Based Reasoning (CBR) method. namely an expert system that uses case-based reasoning methods, namely looking for similarities of a disease compared to a disease that has existed before. In this study, the CBR method was combined with a weighting process using the pairwise comparison method which was within the scope of the AHP (Analytic Hierarchy Process) method. In comparing consultations with old diseases that already exist in the system, and looking for similarities from the comparison results, the Sorensen similarity algorithm is used. This study resulted in weights with 3 symptom categories, namely mild symptoms with a weight of 0.09, moderate symptoms with a weight of 0.24 and severe symptoms with a weight of 0.67 and will recommend several diseases with a similarity above 0.5 and diseases with a similarity below 0.5 will be entered into the revise table to find a solution.

Analytic Hierarchy Process Method Based on the Cask Theory

2015 ◽  
Vol 713-715 ◽  
pp. 1610-1614
Author(s):  
Yan Li ◽  
Xiao Dong Mu ◽  
Wei Song ◽  
Hui Wei Shi
Keyword(s):  
Expert System ◽  
Analytic Hierarchy Process ◽  
System Performance ◽  
Strong Impact ◽  
Analytic Hierarchy ◽  
Judgment Matrix ◽  
Index Value ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

When using the traditional AHP to evaluate the system,the method of endow with weight is to request expert build the judgment matrix of every hierarchies. The method is over-subjective for its overdependence on expert system. In view of this, this paper puts forward an analytic hierarchy process method based on the cask theory. This method penalizes the index whose index value is too low to having a strong impact on overall system performance. Using this method achieves the goal of reducing the subjectivity. Finally, according to the example, this method’s superiority is proved.

scholarly journals PENERAPAN METODE FUZZY AHP DALAM PENENTUAN SEKTOR YANG BERPENGARUH TERHADAP PEREKONOMIAN PROVINSI BALI

2016 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
TJOKORDA GDE AGUNG FRISKA ADNYANA ◽  
G. K. GANDHIADI ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Manufacturing Industry ◽  
Fuzzy Ahp ◽  
Weighted Average ◽  
Pairwise Comparison ◽  
Primary Group ◽  
Tertiary Sector ◽  
Analytic Hierarchy ◽  
Consistency Ratio ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

The aim of this research is to apply Fuzzy Analytic Hierarchy Process method to determine the dominant sectors of economy Bali Province. This research used survey data from respondents who understand about economy of Bali Province and Gross Regional Domestic Product (GRDP). The research variables consist of criteria and sub-criteria. The criteria consist of primary sector, secondary, and tertiary, while the sub-criteria consist of 9 sectors of the GRDP. Data processing is done by calculating the weighted average and arrange them into pairwise comparison matrices. Furthermore, the consistency ratio is checked. If consistency ratio less than 0.100 (), the elements of matrices is changed into triangular fuzzy scale and processed with synthetic extent to get the priority. Based on the result of research, the economy of Bali are dominated by tertiary sector in sector group, agriculture and forestry in sub-primary group, manufacturing industry in sub-secondary group, and trade, hotel and restaurant in sub-tertiary group.

A novel MCDM model for prioritizing the renewable power plants’ construction

2019 ◽  
Vol 30 (2) ◽  
pp. 383-399 ◽  
Author(s):  
Fatima Sedady ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Power Plants ◽  
Environmental Aspects ◽  
Tidal Power ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Renewable Power ◽  
Comparison Results ◽  
Criteria Weights ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Purpose The purpose of this paper is to propose a new multi-criteria decision making (MCDM) technique to determine the priority of renewable power plants construction conceding technical, economic, social, political and environmental aspects. Design/methodology/approach First, a comprehensive set of 5 main criteria of technical, economic, social, political and environmental are considered for renewable power plants construction, each including 5 sub-criteria (a total of 25 sub-criteria). Then, the analytic hierarchy process method is used to determine the weight of the criteria. Finally, a new MCDM technique proposed to prioritize the construction of renewable power plants, named TOPKOR. To demonstrate the capability of the proposed method, a case study is conducted in which six types of renewable power plants are evaluated. Findings Comparison results of the main criteria weights show that the “economic” [0.403], “environmental” [0.296] and “technical” [0.17] aspects have the highest importance, respectively. The results also show that solar, hydroelectric and wave and tidal power plants have the highest priority for construction, respectively. Research limitations/implications The result of this research could be useful for related decision makers in construction of the renewable power plants to have a comprehensive set of criteria in technical, economic, social, political and environmental aspects in their decision process. Originality/value This research provides a comprehensive set of criteria and sub-criteria for prioritizing the renewable power plants. Moreover, a new hybrid MCDM technique is introduced for prioritizing the construction of power plants.

scholarly journals HYBRID FORECASTING SYSTEM BASED ON CASE-BASED REASONING AND ANALYTIC HIERARCHY PROCESS FOR COST ESTIMATION

2013 ◽  
Vol 19 (1) ◽  
pp. 86-96 ◽  
Author(s):  
Sangyong Kim
Keyword(s):  
Analytic Hierarchy Process ◽  
Cost Estimation ◽  
Prediction Models ◽  
Early Stage ◽  
Case Based Reasoning ◽  
Cost Estimating ◽  
Analytic Hierarchy ◽  
Highway Projects ◽  
Hierarchy Process ◽  
Case Based

Cost estimating of highway projects with high accuracy at the early stage of project development is crucial for planning and feasibility studies. Various research have been attempted to develop cost prediction models in the early stage of a construction life cycle. This study uses the hybrid estimating tool to provide an effective cost data management for highway projects and accordingly develops a realistic cost estimating system. This study focused on the development of a more accurate estimate technique for highway projects in South Korea at the early stage using hybrid analytic hierarchy process (AHP) and case-based reasoning (CBR). Real case studies are used to demonstrate and validate the benefits of the proposed approach. It is expected that the developed CBR system is to provide decision-makers with accurate cost information to asses and compare multiple alternatives for obtaining the optimal solution and controlling cost.

A Case-Based Reasoning Combined with AHP Wighting for Cutter Conceptual Configuration Prediction Model

2011 ◽  
Vol 418-420 ◽  
pp. 1919-1924
Author(s):  
Xian Yun Wang ◽  
Jian Qin Liu ◽  
Wei Guo
Keyword(s):  
Analytic Hierarchy Process ◽  
Prediction Model ◽  
Relative Weight ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Disc Cutters ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Case Based

Abstract For complex and difficult geology, it is difficult to design right cutters for TBM in the conventional ways. So the successful experiences and data accumulated are very useful in TBM disc cutters design. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. This paper proposes an AHP-Based CBR model that overcomes the difficulty of measuring experience for determining the relative weight of attributes by the analytic hierarchy process. By comparing, the model using the analytic hierarchy process was more accurate, reliable, and explanatory for solving new problems using experience from previous cases.

scholarly journals Forecasting Repair Schedule for Building Components Based on Case-Based Reasoning and Fuzzy-AHP

2019 ◽  
Vol 11 (24) ◽  
pp. 7181
Author(s):  
Sojin Park ◽  
Nahyun Kwon ◽  
Yonghan Ahn
Keyword(s):  
Fuzzy Ahp ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Average Case ◽  
Related Information ◽  
Building Maintenance ◽  
Proposed Model ◽  
Building Components ◽  
Hierarchy Process ◽  
Case Based

Building maintenance is closely related to the performance and sustainability of buildings. However, existing approaches to maintenance are limited in terms of estimating required repairs. Therefore, this study proposes a case-based reasoning (CBR)-based model for estimating the time when the first repair will be needed after the completion of construction, even in phases where maintenance-related information is scarce. CBR and fuzzy-analytic hierarchy process (AHP) were employed as research methodologies. A database was established by collecting 257 cases related to maintenance of apartment buildings, and attributes were extracted through literature reviews and expert interviews. Then, attributes were weighted by fuzzy-AHP and case similarities were computed by measuring the Euclidean distance. Similar cases were retrieved based on similarity scores. The model was validated via a comparison of 20 randomly selected test cases with the output of retrieved cases. The results showed that the average case similarities of 3-, 5-, 7-, and 10-nearest neighbors (NN) were 98.05%, 97.86%, 97.73%, and 97.59%, respectively, and mean absolute percentage errors for 3-, 5-, 7-, and 10-NN were mostly lower than 20%, confirming the applicability of the proposed model. The proposed method will help in the preliminary estimation of the repair time of building components.

Ratio and Difference Estimation in Multi-Criteria Decision Analysis

1993 ◽  
Author(s):  
F. A. Lootsma
Keyword(s):  
Analytic Hierarchy Process ◽  
Cross Validation ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Analytic Hierarchy ◽  
Basic Assumptions ◽  
Common Basis ◽  
Hierarchy Process ◽  
The Relationship ◽  
Relative Preferences

Abstract Since decisions are invariably made within a given context, we model relative preferences as ratios of increments or decrements in an interval on the axis of desirability. Next, we sort the ratio magnitudes into a small number of categories, represented by numerical values on a geometric scale. We explain why the Analytic Hierarchy Process (AHP), typically based on a pairwise-comparison method, is concerned with category judgement of ratio magnitudes, whereas the Simple Multi-Attribute Rating Technique (SMART) essentially uses the orders of magnitude of these ratios. This provides a common basis for the analysis of the methods in question and for a cross-validation of their results. The present paper summarizes the basic assumptions and the relationship between the two methods.

Analysis of Parts Weight of Railway Concrete Girder Bridges by Fuzzy Analytic Hierarchy Process

2012 ◽  
Vol 204-208 ◽  
pp. 2105-2108
Author(s):  
Fan Yang ◽  
Mu Biao Su ◽  
Qing Ning Li ◽  
Xian Li Yan ◽  
Tao Feng
Keyword(s):  
Analytic Hierarchy Process ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Analytic Hierarchy ◽  
Railway Bridges ◽  
Girder Bridges ◽  
Fuzzy Synthetical Evaluation ◽  
Girder Bridge ◽  
Hierarchy Process ◽  
Concrete Girder

In order to accurately determine the weight of railway bridges parts, for railway concrete girder bridge case, this thesis is based on analysing the construction features of the railway concrete girder bridges and destructive characteristic of seismic damage and proposes a detailed method, which adopts combination of the analytic hierarchy process and the fuzzy synthetical evaluation. The weight of railway concrete girder bridges can be confirmed, by utilizing its logical and pairwise comparison method, Studies show that this is an effective method to confirm the weight of railway concrete girder bridges. It is of great value to quickly evaluate earthquake loss of railway bridges in the earthquake stricken areas.

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