scholarly journals The Grey Clustering Analysis for Photovoltaic Equipment Importance Classification

2017 ◽  
Vol 6 (2) ◽  
pp. 47
Author(s):  
Hongjiu LIU ◽  
Qin ZHANG
Keyword(s):  
Clustering Analysis ◽  
Maintenance Management ◽  
Analysis Model ◽  
Reliable Operation ◽  
Power Station ◽  
Analytic Hierarchy ◽  
Operation And Maintenance ◽  
Grey Clustering ◽  
Judgment Matrix ◽  
Hierarchy Process

The evaluation of equipment importance is an important part of the operation and maintenance management and its purpose is to identify the key equipment which has important influence on the reliable operation of the power station. On the basis of grey clustering theory, the paper firstly establishes the analysis model of photovoltaic (pv) power station equipment importance and the weights of factors in the target hierarchy is solved by using the judgment matrix in analytic hierarchy process. Secondly, according to the whitenization weight function of the grey clustering, pv equipment is classified into three types: key equipment, vital equipment and general equipment, which lays the foundation for the equipment maintenance strategy choice. Finally, an application example verifies the practicality and scientificity of the proposed method.

The Optimum Choice of Fabric Based on Analytic Hierarchy Process

2014 ◽  
Vol 1048 ◽  
pp. 168-172
Author(s):  
Qing Yun Han ◽  
Yan Mei Li ◽  
Fan Ju
Keyword(s):  
Analytic Hierarchy Process ◽  
Optimal Choice ◽  
Hierarchical Analysis ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Target Layer ◽  
Solution Layer ◽  
Judgment Matrix ◽  
Hierarchy Process ◽  
Selection Of

From the perspective of consumer’s different fabric demand, application operational research of analytic hierarchy process (AHP) for candidates of the fabric to choose the best. Dust coat fabric, for example, the optimal choice as the target layer of fabric, with fabric bending stiffness, elasticity and thickness, permeability index, thermal resistance as the criterion layer, according to the research of the typical multiple dust coat fabric for plan layer, dust coat fabrics of hierarchical analysis model is established, combining quantitative and qualitative indicators, structural optimization selection of fabrics of judgment matrix. Consumer’s demand determines the weights of criteria layer, candidate fabric corresponding criterion layer of the experimental data as a basis of criterion for solution layer weight. Using the matlab language to calculate and design the interface, so as to realize the intelligent optimization selection of fabrics.

scholarly journals Research on the Evaluation Index System and the Grey Clustering Analysis Model of Teaching Quality of Physical Education in Higher Education

2015 ◽  
Vol 10 (8) ◽  
pp. 59 ◽  
Author(s):  
Baoquan Wu
Keyword(s):  
Physical Education ◽  
Clustering Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Evaluation Index System ◽  
Analysis Model ◽  
Grey Clustering

Teaching quality evaluation of physical education usually involves multiple influence factors with grey and uncertain information. This brings about limitations to effective evaluation of teaching quality of physical education in colleges and universities. Thus, this paper draws merits from previous research and proposes a teaching quality evaluation system and model of physical education in colleges and universities. First, based on real situations, grey categories of evaluation state for physical education teaching quality are established. The definite weighted functions of grey category of evaluation state are confirmed. Specific steps of the teaching quality evaluation model based on grey clustering analysis are accounted for. Finally, a case study is introduced to verify the model. This model enlightens a new way to evaluate teaching quality of physical education in colleges and universities.

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 Multicriteria optimization in a fuzzy environment: The fuzzy analytic hierarchy process

2010 ◽  
Vol 20 (1) ◽  
pp. 71-85 ◽  
Author(s):  
Milanka Gardasevic-Filipovic ◽  
Dragan Saletic
Keyword(s):  
Analytic Hierarchy Process ◽  
Optimization Problems ◽  
Fuzzy Ahp ◽  
User Preferences ◽  
Analytic Hierarchy ◽  
Weighted Sum Method ◽  
Fuzzy Environment ◽  
Previously Treated ◽  
Judgment Matrix ◽  
Hierarchy Process

In the paper the fuzzy extension of the Analytic Hierarchy Process (AHP) based on fuzzy numbers, and its application in solving a practical problem, are considered. The paper advocates the use of contradictory test to check the fuzzy user preferences during fuzzy AHP decision-making process. We also propose consistency check and deriving priorities from inconsistent fuzzy judgment matrices to be included in the process, in order to check if the fuzzy approach can be applied in the AHP for the problem considered. An aggregation of local priorities obtained at different levels into composite global priorities for the alternatives based on weighted-sum method is also discussed. The contradictory fuzzy judgment matrix is analyzed. Our theoretical consideration has been verified by an application of commercially available Super Decisions program (developed for solving multi-criteria optimization problems using AHP approach) on the problem previously treated in the literature. The obtained results are compared with those from the literature. The conclusions are given and the possibilities for further work in the field are pointed out.

A Tool for GIS Based Risk Analysis for Transportation of Dangerous Goods on Road (the RAGISADR)

2016 ◽  
pp. 394-415 ◽  
Author(s):  
Serhan Karabulut ◽  
Ebru V. Ocalir-Akunal
Keyword(s):  
Risk Analysis ◽  
Evaluation Criteria ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
The Road ◽  
Dangerous Goods ◽  
International Regulations ◽  
Transport Of Dangerous Goods ◽  
Environmental Risk Analysis ◽  
Hierarchy Process

In this study, an environmental risk analysis model is developed as a decision support system (the RAGISADR) in order to assess environmental risks for transportation of dangerous goods. Transport of dangerous goods needs to be regulated to prevent accidents. Moving dangerous goods by road is governed by international regulations. GIS are used to quantify the factors on each link in the network that contribute to each of the evaluation criteria for a possible route. The Analytic Hierarchy Process (AHP) is used to assign weights to factors. The priority weights of each environmental criteria is calculated by using Analytical Hierarchy Process (AHP) before risk models are implemented in the road network of Izmir-Manisa-Aydin-Mugla-Denizli (Aegean Region of Turkey). The most convenient route according to the criteria set is determined. The results give decision maker the possibility to choose the best alternative among possible routes according to certain criteria.

A Tool for GIS Based Risk Analysis for Transportation of Dangerous Goods on Road (the RAGISADR)

2016 ◽  
pp. 752-772
Author(s):  
Serhan Karabulut ◽  
Ebru V. Ocalir-Akunal
Keyword(s):  
Risk Analysis ◽  
Evaluation Criteria ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
The Road ◽  
Dangerous Goods ◽  
International Regulations ◽  
Transport Of Dangerous Goods ◽  
Environmental Risk Analysis ◽  
Hierarchy Process

In this study, an environmental risk analysis model is developed as a decision support system (the RAGISADR) in order to assess environmental risks for transportation of dangerous goods. Transport of dangerous goods needs to be regulated to prevent accidents. Moving dangerous goods by road is governed by international regulations. GIS are used to quantify the factors on each link in the network that contribute to each of the evaluation criteria for a possible route. The Analytic Hierarchy Process (AHP) is used to assign weights to factors. The priority weights of each environmental criteria is calculated by using Analytical Hierarchy Process (AHP) before risk models are implemented in the road network of Izmir-Manisa-Aydin-Mugla-Denizli (Aegean Region of Turkey). The most convenient route according to the criteria set is determined. The results give decision maker the possibility to choose the best alternative among possible routes according to certain criteria.

scholarly journals Evaluating the Performance of the Government Venture Capital Guiding Fund Using the Intuitionistic Fuzzy Analytic Hierarchy Process

2020 ◽  
Vol 12 (17) ◽  
pp. 6908 ◽  
Author(s):  
Jianjun Xu ◽  
Lijie Yu ◽  
Rakesh Gupta
Keyword(s):  
Venture Capital ◽  
Analytic Hierarchy Process ◽  
Analytical Framework ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
The Government ◽  
High Level ◽  
Hierarchy Process

The performance evaluation of the government venture capital guiding fund (GVCGF) has come into focus in the field of venture capital. Most of the existing studies, such as whether the GVCGF has guided social capital to start-up enterprises and has played its due role in the process of enterprise growth and innovation, are all based on relevant work under the framework of econometric analysis. Unlike in these existing studies, we construct the performance analysis model of the GVCGF from four dimensions, including the standardization development of the guidance fund, the risk control ability, and the leverage and the support effects under the framework of a multi-attribute decision-making analysis. Taking a GVCGF project in Ningbo City, China, as an example, we comprehensively evaluate the development performance of the GVCGF using the intuitionistic fuzzy analytic hierarchy process (IFAHP). The results show that the development performance of the GVCGF is at a “relatively high” level. Compared with the traditional analytic hierarchy process (AHP), the IFAHP effectively avoids the false, enlarged influence caused by data subjectivity and evaluation uncertainty. This study provides a feasible analytical framework for the application of the IFAHP in other project performance evaluations.

scholarly journals Performance Indicators Framework for Assessment of a Sanitary Sewer System Using the Analytic Hierarchy Process (AHP)

2019 ◽  
Vol 11 (10) ◽  
pp. 2746 ◽  
Author(s):  
Seong-Nam Nam ◽  
Thao Thi Nguyen ◽  
Jeill Oh
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Sewer System ◽  
Analytic Hierarchy ◽  
Important Indicator ◽  
Sanitary Sewer ◽  
Operation And Maintenance ◽  
The Analytic Hierarchy Process ◽  
Odor Monitoring ◽  
Hierarchy Process

In this study, performance indicators (PIs) for assessing services of the sanitary sewer system in South Korea were evaluated based on general opinions collected from experts in the field. The analytic hierarchy process (AHP) was then carried out. The evaluated set of PIs consisted of five major criteria: management, operation and maintenance, service, environment, and finance. Using the experts’ survey incorporated into the AHP tool, the prioritization of the five criteria was performed, consisting of a total of 14 indicators and 34 checklists on three levels. Of the criteria groups, operation and maintenance was found to be the most important indicator, comprising 43% of all the scores. The AHP results showed that, of the 34 checklists, 13 indicators were explained as candidates of key PIs: on-the-job training and work role and responsibility from management, sewer condition inspection, pump, sewer maintenance, flow rate/water quality/odor monitoring from operation and maintenance, complaint resolution from service, inflow volume from environment, and operational cost in annual expenditures from finance. The PIs developed in this study are expected to be used by stakeholders involved in the provision of sewer services, such as undertaking companies, policy-making bodies, and financing agencies.

A multibelief analytic hierarchy process and nonlinear programming approach for diversifying product designs: Smart backpack design as an example

2020 ◽  
Vol 234 (6-7) ◽  
pp. 1044-1056 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Toly Chen
Keyword(s):  
Nonlinear Programming ◽  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Programming Approach ◽  
Analytic Hierarchy ◽  
Nonlinear Programming Model ◽  
Judgment Matrix ◽  
The Cost ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.

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