Risk Evaluation Scheme for Accounting Information System Based on Analytic Hierarchy Process

2017 ◽  
Author(s):  
Luling Kong
Keyword(s):  
Information System ◽  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Accounting Information ◽  
Analytic Hierarchy ◽  
Accounting Information System ◽  
Evaluation Scheme ◽  
Hierarchy Process

Research on the Risk Assessment Algorithm for Accounting Information System Based on Analytic Hierarchy Process

2014 ◽  
Vol 666 ◽  
pp. 327-332 ◽  
Author(s):  
Shu Hui Wu
Keyword(s):  
Risk Assessment ◽  
Information System ◽  
Analytic Hierarchy Process ◽  
Accounting Information ◽  
Middle Level ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Accounting Information System ◽  
System Risk ◽  
Hierarchy Process

This paper concentrates on the risk assessment problem for accounting information system, which is an important problem in enterprise informatization construction. Firstly, we show that process of the accounting information system is made up three parts: 1) Implementation process of the accounting information system, 2) Processing of the accounting information, and 3) Management process of the accounting information system. Secondly, evaluation index system of the accounting information system risk assessment is given, which is a hierarchy structure with three layers. Thirdly, we introduce analytic hierarchy process to solve the problem of accounting information system risk assessment estimating. In analytic hierarchy process, an overall object is positioned in the top level, and the criteria in the middle level represents to the overall object. Furthermore, the perfectly consistent case where the pairwise comparisons matrix can be defined using a priority vector. Utilizing the interval weights, the maximum interval can be obtained, and then the index weights estimating problem can be converted to a linear programming problem with constraint conditions. Finally, experiments are conducted to make performance evolution, compared with expert’s evaluation and very positive results are obtained.

scholarly journals Weights of Factors Contributing to Flood Formation in the Lam River Basin, Vietnam

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Nguyen Ba Dung ◽  
Dang Tuyet Minh ◽  
Nguyen Quoc Long ◽  
Le Thi Thu Ha
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Analytic Hierarchy Process ◽  
River Basin ◽  
Flood Risk ◽  
Annual Rainfall ◽  
Soil Slope ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

There are many factors that influence the formation and development of floods, such as rainfall, soil, slope, land cover, drainage, and density. Therefore, a quantitative assessment of their importance is necessary, especially in the determination of flood risk zones, using the Analytic Hierarchy Process algorithm and Geographic Information System. In comparison with other methodologies, an obvious advantage of Analytic Hierarchy Process is the ability to solve multi-variable qualitative and quantitative problems with precise and trustworthy results. This paper presents the application of the Analytic Hierarchy Process algorithm in analyzing and evaluating the level at which various criteria affect flood risk in the Lam River basin. Some of the flood-causative factors considered in this paper are annual rainfall, soil, slope, land cover, drainage density, and relative slope length. These factors were chosen based on the physical conditions of the study area. The research results are the weight of different criteria. The higher the weight, the higher the effect of that criterion on flood risk. The computed weights show that annual rainfall and slope are the factors that contribute the most to flooding, based on decision-makers’ judgement. The results of this article can be used to construct a flood risk zoning map and flood susceptibility map for flood warnings in the Lam River basin, using the Analytic Hierarchy Process method and Geographic Information System technology. New research shows that Analytic Hierarchy Process can be trustworthy when assessing the level of influence of the different factors on determining flood-prone areas in the Lam River basin, as well as other basins.

scholarly journals Geographic information system based malaria risk analysis and mapping in Erer District eastern Ethiopia

2019 ◽  
Author(s):  
Maereg Teklay A Amare ◽  
Gebrehiwot Gebretsadik kassa ◽  
Esie G/wahid Gebre ◽  
Abadi Abay ◽  
Mekonen yimer ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Analytic Hierarchy Process ◽  
Geographic Information ◽  
Malaria Risk ◽  
Analytic Hierarchy ◽  
Risk Areas ◽  
Hazard And Risk ◽  
Temporal And Spatial ◽  
Hierarchy Process

Abstract Background: Erer is one of the districts in Ethiopia where the first malaria transmission season occurs. Although the focus on malaria research has increasingly gained ground, little emphasis has been given to develop quantitative methods for assessing malaria hazard and risk in a temporal and spatial perspective. Objective: To characterize and examine the temporal and spatial malaria trend. The research also aims at producing a predictive model of malaria hazard and risk in Erer district. Methods: In this study a cross sectional research design was used. It was carried out through the collection of both quantitative and qualitative data about the nature of malaria and household’s response towards it. A multi-stage sampling method was used and 136 sample size was determined from the sampling frame of 6203 households. Simple descriptive analysis technique was used to determine the malaria trend of the district. Integration of Geographic information system and analytic hierarchy process was used to determine the weight of each factor pair wise comparison and weighted linear combination was used to aggregate and produce the hazard and malaria risk maps. Results: Results have shown that 19.92%, 27.96%, 32.35%, 18.93% and 0.82% of the district was very high, high, moderate, low and very low malaria risk areas respectively. The malaria trend of the area was found to be variable across time with 2014 the peak year while the minimum case observed was in 2016. Conclusion: It is possible to conclude that risk maps are important for estimating the scale of the risk, and enable detection of high risk areas, thus facilitating decision making and policy formulation for enhanced malaria control interventions. Key words: Analytic Hierarchy Process; Malaria risk; Malaria trend; Weighted overlay

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