Linking analytic hierarchy process and cluster analysis to weight indicators in residential building energy efficiency assessment

2011 ◽  
Author(s):  
Yulan Yang ◽  
Wenbo Yu ◽  
Huixing Tai ◽  
Tao Shi ◽  
Xiaoqing Zhu
Keyword(s):  
Cluster Analysis ◽  
Energy Efficiency ◽  
Analytic Hierarchy Process ◽  
Residential Building ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Analytic Hierarchy ◽  
Efficiency Assessment ◽  
And Cluster Analysis ◽  
Hierarchy Process

ANALYSIS OF ELEMENTS INFLUENCING CHILD SAFETY IN HIGH-RISE BUILDINGS USING ANALYTICAL METHOD

2021 ◽  
Vol 19 ◽  
Author(s):  
Sitiayu Zubaidah Yusuf ◽  
Zurinah Tahir ◽  
Salfarina Samsudin
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytical Method ◽  
Residential Building ◽  
Child Safety ◽  
Analytic Hierarchy ◽  
High Rise ◽  
Negative Thoughts ◽  
Strict Enforcement ◽  
Safety Considerations ◽  
Hierarchy Process

Due to the lack of land in densely populated areas in Malaysia, high-rise residential building has become a trend in the recent years. However, in designing and constructing these buildings, safety considerations have not received adequate attention. This study aims to examine the causes of children falling from high-rise buildings, while the nature and frequencies of such accidents were also investigated. The paper is based on the existing literature, as well as feedbacks from questionnaires and interviews. The Analytic Hierarchy Process (AHP) approach within Multi-criteria Decision Analysis was adopted for the analysis undertaken in this study. The outcome reveals that accidents involving child falls can be prevented by establishing appropriate policies and regulations. The strict enforcement of safety laws and regulations will help to avoid untoward accidents and dispel negative thoughts about living in high-rise buildings. The findings elaborate on the ranking of elements that influence child safety in high-rise apartments.

scholarly journals An analytical model to evaluate the performance of associative seed producer organizations in the framework of Plan Semilla - Agrosavia (Colombia)

2019 ◽  
Vol 37 (2) ◽  
pp. 173-188
Author(s):  
Leisdy Lázaro-Palacio ◽  
Yesid Aranda-Camacho
Keyword(s):  
Cluster Analysis ◽  
Analytic Hierarchy Process ◽  
Seed Production ◽  
Analytical Model ◽  
Environmental Resources ◽  
Analytic Hierarchy ◽  
Procedural Rationality ◽  
Seed Supply ◽  
Hierarchy Process

Low access and use of quality seeds limit agricultural competitiveness. Since 2013, the Corporacion Colombiana de Investigacion Agropecuaria -Agrosavia- initiated “Plan Semilla” with the aim of consolidating nuclei of quality seed producers under associative schemes that guarantee quality seed supply in the regions where the seeds will be used. Between 2013 and 2016, we undertook characterizations of the organizations participating within the framework of Plan Semilla using various qualitative tools for their diagnostics. However, it was not possible to specify the actions that needed to be taken in order to strengthen these organizations. The aim of this research was to generate an analytical model to evaluate the performance of participating organizations that would establish quality seed production nuclei and to validate the model’s use in those organizations that produce cocoa seed in the Plan Semilla framework. An analytic hierarchy process (AHP) was used to construct the model, which is composed of 4 dimensions (technical capacities, environmental resources, organizational capacities,and management capacities) that are related to criteria that are considered decisive for the consolidation of nuclei of quality seed producers. The model was assessed by 11 experts who identified the importance weight of the elements. In the validation, we used indicators from 30 cocoa seed producer organizations participating in Plan Semilla. We calculated additive utility functions and used a cluster analysis to define the thresholds and to establish the level of performance of the organizations. The results have improved the procedural rationality for the classification of organizations that seek to consolidate quality seed production nuclei.

scholarly journals Estimation of Building Energy Efficiency Performance Using Radial Basis Function Neural Network

2018 ◽  
Vol 7 (4.35) ◽  
pp. 755 ◽  
Author(s):  
Che Munira Che Razali ◽  
Shamsul Faisal Mohd Hussein ◽  
Nolia Harudin ◽  
Shahrum Shah Abdullah
Keyword(s):  
Neural Network ◽  
Energy Efficiency ◽  
Radial Basis Function ◽  
Basis Function ◽  
Residential Building ◽  
Building Energy ◽  
Estimation Methods ◽  
Building Energy Efficiency ◽  
Radial Basis ◽  
Efficiency Performance

Since a pass few decades up to recent, building energy efficiency performance is the top priority due to the sustainability of energy and quality of life. According to recent study related to computer experiment, there are various types of the model has been proposed by the researcher to improve the performance of building energy efficiency. However, there is no empirical evidence to prove the best method in prediction and estimation of energy efficiency that ensure adequate energy to meet todays and future needs. The objective of this paper is to propose Radial Basis Function Neural Network (RBFNN) for estimating the heating load and cooling load of a residential building. This study set out to evaluate different estimation methods of residential building energy efficiency using RBFNN. The data of residential building are obtained from UCI Machine Learning Repository. The dataset of simulation using Ecotect consists of 768 samples with 8 input features and 2 output variables were used to train and test the algorithm of RBFNN. The input variables involved in this experiment are relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and glazing area distribution of a building, while the output variables are heating and cooling loads of the building. The analytical result of the proposed method shows that RBFNN produces better result and performance compared with the previous researches.

Ningbo City’s Residential Building Energy Efficiency Evaluation Index System

2011 ◽  
Vol 374-377 ◽  
pp. 150-154
Author(s):  
Jing Yu ◽  
Rong Yue Zheng ◽  
Joseph Huang ◽  
Ying Chen
Keyword(s):  
Energy Efficiency ◽  
Index System ◽  
Residential Building ◽  
Relevant Information ◽  
Building Energy ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Efficiency Evaluation ◽  
Building Energy Efficiency ◽  
Energy Efficiency Evaluation

According to the actual situation in Ningbo, combined with both relevant information from both China's current building energy efficiency standards and that of foreign building's energy efficiency and environmental assessment methods, together established the Ningbo City residential building energy efficiency evaluation index system. Using the AHP application to evaluate, analyze and calculate to determine the weight of the evaluation index.

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