A coupling methodology of the analytic hierarchy process and entropy weight theory for assessing coastal water quality

2022 ◽  
Author(s):  
Kai Xiao ◽  
Joseph Tamborski ◽  
Xuejing Wang ◽  
Xiaobo Feng ◽  
Sichen Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Analytic Hierarchy Process ◽  
Coastal Water ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Coastal Water Quality ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

scholarly journals Research on maintenance method of relay protection state based on combination weight and gray relation

2022 ◽  
Vol 355 ◽  
pp. 02026
Author(s):  
Xuanhang Wang ◽  
Zhijian Liang
Keyword(s):  
Analytic Hierarchy Process ◽  
Hierarchical Structure ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Weight Calculation ◽  
The Hierarchical Structure ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.

scholarly journals Classification of Groundwater Suitability for Irrigation in the Ulagalla Tank Cascade Landscape by GIS and the Analytic Hierarchy Process

Agronomy ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 351 ◽  
Author(s):  
M.K.N. Kumari ◽  
Kazuhito Sakai ◽  
Sho Kimura ◽  
Kozue Yuge ◽  
M.H.J.P. Gunarathna
Keyword(s):  
Water Quality ◽  
Sri Lanka ◽  
Analytic Hierarchy Process ◽  
Heavy Rain ◽  
Geographical Information ◽  
Analytic Hierarchy ◽  
Dry Zone ◽  
The Analytic Hierarchy Process ◽  
Cropping Seasons ◽  
Hierarchy Process

The tank cascade system (TCS) has been used for over 2000 years for water management in Sri Lanka. Since surface water is limited in the dry zone of Sri Lanka, agricultural production, especially of upland crops, relies on groundwater for irrigation. We sampled 29 wells in the Ulagalla cascade, a prominent TCS near Anuradhapura city in the dry zone of Sri Lanka, in Yala (dry) and Maha (wet) seasons, the two main cropping seasons in Sri Lanka. We evaluated the suitability of groundwater for irrigation using the analytic hierarchy process and geographical information system. Water quality did not vary notably between seasons. However, it deteriorated with the onset of high intensity heavy rain, especially during the Maha season. A water quality zoning map indicated that groundwater in 4% and 96% of the study area is suitable and moderately suitable for irrigation, respectively. Irrigation water quality in tank cascade landscapes and similar environments can be assessed using this methodology and our results.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

Sign in / Sign up

Export Citation Format

Share Document