Weighting of Performance Index by Analytic Hierarchy Process for Water Supply Enterprises

2013 ◽  
Vol 409-410 ◽  
pp. 1004-1007
Author(s):  
Wan Sun ◽  
Jun Ling Wang ◽  
Cui Min Feng ◽  
Ping Cao ◽  
Wei Han
Keyword(s):  
Water Supply ◽  
Analytic Hierarchy Process ◽  
Performance Index ◽  
Index System ◽  
Weight Coefficient ◽  
Urban Water Supply ◽  
Analytic Hierarchy ◽  
Judgment Matrix ◽  
Qualitative Index ◽  
Hierarchy Process

The performance index system weighting of urban water supply was determined by using analytic hierarchy process. Firstly, the water supply performance index system class hierarchy was established, and then the expert scoring was conducted, the judgment matrix established, and the qualitative index quantified. Secondly, the eigenvector analytic hierarchy was sorted, and then, the indicators weights were determined. Therefore, the weight coefficient of index system by analytic hierarchy process is objective and applicable, and lay a good foundation for the performance evaluation.

scholarly journals Research on the Key Performance Evaluation Methods of Enterprises Using BSC and KPI Based on Analytic Hierarchy Process ---- Illustrated by the Case of Hangzhou Cigarette Factory

2021 ◽  
Vol 251 ◽  
pp. 01067
Author(s):  
Yuexiong Gong ◽  
Wei Ying ◽  
Yunxun Yu ◽  
XiaoZhong Zhou ◽  
Xiaping Fan
Keyword(s):  
Performance Evaluation ◽  
Analytic Hierarchy Process ◽  
Performance Index ◽  
Index System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Analytic Hierarchy ◽  
Actual Performance ◽  
Key Performance Index ◽  
Hierarchy Process

Taking Hangzhou cigarette factory as an example, this paper establishes a key performance index system through integrating the balanced scorecard (BSC) and key performance index (KPI). The index system includes the first-level and 13 second-level indicators in four dimensions of finance, customers, internal processes, as well as learning and growth. Through Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation method, it constructs an evaluation model of key corporate performance, finally achieves the actual performance levels of the enterprise, as well as puts forward the improvement suggestions. This evaluation method mainly includes the steps of determining the domain of evaluation factors at all levels, determining the evaluation level, determining fuzzy weight vectors of various indexes, establishing the fuzzy relation matrix and calculating comprehensive evaluation results. It has high accuracy in the process of performance evaluation, which has certain reference and guiding significance for improving the comprehensive competitiveness.

Grassland resource evaluation based on improved bp network model and analytic hierarchy process

2020 ◽  
pp. 1-12
Author(s):  
Zhou Jiang ◽  
Zhenwu Wei
Keyword(s):  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Carrying Capacity ◽  
Index System ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Bp Network ◽  
Resource Evaluation ◽  
Environmental Carrying Capacity ◽  
Hierarchy Process

Grassland resources are an important part of land resources. Moreover, it has the functions of regulating the climate, windproof and sand fixation, conserving water sources, maintaining water and soil, raising livestock, providing food, purifying the air, and beautifying the environment in terrestrial ecosystems. Grassland resource evaluation is of great significance to the sustainable development of grassland resources. Therefore, this paper improves the BP neural network, uses the comprehensive index method to calculate the weights in the analytic hierarchy process, and constructs a water resources carrying capacity research and analysis system based on the entropy weight extension decision theory. Meanwhile, this paper analyzes different levels of resource and environmental carrying capacity to achieve the purpose of comprehensive evaluation of resource and environmental carrying capacity. In addition, based on the theory of sustainable development, under the guidance of the principle of index system construction, this paper studies the actual situation of grassland resources and the availability and operability of data, and combines with the opinions given by experts to form an evaluation index system of grassland resources and environmental carrying capacity. Finally, through the actual case study analysis, it is concluded that the model constructed in this paper has a certain effect.

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.

scholarly journals Study on Evaluation Index System of Urban Traffic Improvement Based on Analytic Hierarchy Process

2021 ◽  
Vol 237 ◽  
pp. 04029
Author(s):  
Xiaolei Zheng ◽  
Yong Yin ◽  
Tao Yang
Keyword(s):  
Analytic Hierarchy Process ◽  
Index System ◽  
Quantitative Methods ◽  
Urban Traffic ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Analytic Hierarchy ◽  
Traffic Demand ◽  
Qualitative And Quantitative Methods ◽  
Hierarchy Process

The double development of urbanization and motorization has made the traffic demand of our country grow rapidly and diversified. the improvement of urban traffic has become an important condition for the sustainable development of the city. Based on the analytic hierarchy process (AHP), this paper establishes the evaluation index system of urban traffic improvement by comparing the importance of indexing by experts. It is found that improvement of road network, optimization of public traffic and improvement of intersection are the most important in urban traffic improvement. the intersection of the most important level of service. By using qualitative and quantitative methods, the Likert scale was used to classify the results and the four-quadrant method was used to analyze the urban traffic improvement evaluation index system.

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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