AHPCC: A High Performance Computer System Evaluation Model Based on HPCC and Analytic Hierarchy Process

Since the human society entered the electrification era, people’s work, life, and even the production and development of various industries in society are inseparable from the supply of electricity. The purpose of this paper is to establish a cable insulation life evaluation model based on the improved fuzzy analytic hierarchy process to test the current insulation characteristics and life of various types of cables, so as to ensure the quality of power supply and safe production of power. This paper first understands the cable insulation characteristics test process and electrical power-related knowledge through a large number of literature studies and consultation with power grid professionals. Then this paper combines the theoretical research and improvement of the fuzzy analytic hierarchy process based on the actual situation of the cable insulation characteristics, thereby constructing the cable insulation life evaluation model. In this evaluation model, this paper combines the fuzzy comprehensive evaluation method and the analytic hierarchy process as well as the actual situation of the cable characteristic test to analyze and predict the insulation life of the cable. Finally, the linear test and reliability estimation of the experimental results are carried out, and the application of this evaluation model is extended to the evaluation of insulation life of other types of cables. Based on this, this paper proposes a cable insulation life evaluation model based on the improved fuzzy analytic hierarchy process. This model combines the Weibull model and the Arrhenius model commonly used in the assessment of cable insulation aging life and the improved fuzzy analytic hierarchy process. Experiments have proved that, within a certain range, temperature factors have a significant impact on the cable insulation life. For example, when the temperature is below 55°C, the insulation life of the cable is usually 30 to 50 years. However, the evaluation model of the improved fuzzy analytic hierarchy process in this paper has much higher accuracy in evaluating cable insulation life than other life evaluation methods.

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A decision support model based on the Analytic Hierarchy Process for the Make or Buy decision in manufacturing

Journal of Purchasing and Supply Management ◽

10.1016/j.pursup.2007.01.003 ◽

2006 ◽

Vol 12 (5) ◽

pp. 258-271 ◽

Cited By ~ 35

Author(s):

Henny van de Water ◽

Heleen P. van Peet

Keyword(s):

Decision Support ◽

Analytic Hierarchy Process ◽

Decision Support Model ◽

Analytic Hierarchy ◽

Model Based ◽

The Analytic Hierarchy Process ◽

Hierarchy Process ◽

Support Model

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Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

Water Practice & Technology ◽

10.2166/wpt.2016.053 ◽

2016 ◽

Vol 11 (2) ◽

pp. 487-494

Author(s):

Li Bo

Keyword(s):

Analytic Hierarchy Process ◽

Grey Relational Analysis ◽

Evaluation Model ◽

Evaluation Index System ◽

Analytic Hierarchy ◽

Water Abundance ◽

Relational Analysis ◽

Major Factors ◽

Grey Relational ◽

Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

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