Power System Data Quality Evaluation Based on the Analytic Hierarchy Process

2013 ◽  
Vol 712-715 ◽  
pp. 2611-2614
Author(s):  
Xi Liang Wang ◽  
Xuan Qin ◽  
Dao Xin Liu ◽  
Zi Jian Wang ◽  
Jun Wang ◽  
...  
Keyword(s):  
Data Quality ◽  
Electric Power ◽  
Quality Evaluation ◽  
Statistical Data ◽  
Evaluation Process ◽  
Analytic Hierarchy ◽  
System Data ◽  
Hierarchy Process ◽  
Specific Evaluation

The demand for electric power data is more and more widely, and put forward higher requirements to the quality of statistical data. This paper combined with the features of electric power data. Evaluate data quality from the accuracy, completeness, uniqueness, consistency, accuracy, efficiency and timeliness seven aspects. And put forward the specific evaluation methods of each evaluation index. Then build a whole data quality evaluation process on this basis, quantitative analysis the data in the database, to acquaintance the data quality condition.

scholarly journals Evaluation of Teaching Quality of College Physical Education Based on Analytic Hierarchy Process

2020 ◽  
Vol 15 (10) ◽  
pp. 86
Author(s):  
Ke Han
Keyword(s):  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Evaluation Systems ◽  
Evaluation Of Teaching ◽  
Set Up ◽  
Hierarchy Process

There are many difficulties in the evaluation of the teaching quality of phys-ical education (PE) in colleges: the evaluation factors are complicated, the evaluation systems are incomplete, and the evaluation methods are not com-prehensive enough. To overcome these difficulties, this paper introduces an-alytic hierarchy process (AHP) to the evaluation of PE teaching quality in colleges. Firstly, the authors identified the influencing factors of PE teaching in colleges today. Next, an index system was established for the evaluation, and an evaluation model was set up based on the AHP and grey system theo-ry (GST). Finally, our method was proved feasible through example analysis. The research results provide new insights on the application of state-of-the-art theories in quality evaluation of higher education.

scholarly journals Application of multiple criteria decision methods to optimise learning scenarios

2016 ◽  
Vol 57 ◽  
Author(s):  
Julija Kurilova ◽  
Eugenijus Kurilovas
Keyword(s):  
Comparative Analysis ◽  
Quality Evaluation ◽  
Fuzzy Numbers ◽  
Analytic Hierarchy ◽  
Personalised Learning ◽  
Decision Methods ◽  
Learning Scenarios ◽  
Optimisation Methods ◽  
Hierarchy Process

In the paper, learning scenarios (units) quality evaluation and optimisation problems are analysed. Learning scenarios optimisation is referred here as its personalisation according to learners needs. In the paper, comparative analysis of two popular optimisation methods based on Fuzzy numbers theory and Analytic Hierarchy Process is performed, aiming to measure what method is the most suitable to evaluate the quality of personalised learning scenarios. Learning scenarios quality is referred here as its suitability to learners needs. Research results show that Fuzzy numbers theorybased methods are more suitable to evaluate the quality of personalised learning scenarios.

scholarly journals Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Changan Zhu ◽  
Runfang Sun ◽  
Hua Xu ◽  
Yiwei Liu ◽  
Zhuang Chen
Keyword(s):  
Quality Evaluation ◽  
Ground Surface ◽  
Field Tests ◽  
Analytic Hierarchy ◽  
Quality Classification ◽  
Final Score ◽  
Hierarchy Process ◽  
Mountain Tunnel

The quality of ground surface pregrouting (GSPG) is commonly qualitatively evaluated using single factor; however, the quality evaluation involves numerous facets, and a quantitative evaluation is rare. The aim of this study was to quantitatively evaluate the quality of a GSPG based on three aspects. The fuzzy analytic hierarchy process (FAHP) was adopted to obtain the final score and quality classification of the GSPG. Based on three aspects, namely, integrity, continuity, and sturdiness, a series of field tests was also conducted, qualitatively evaluating the quality of the GSPG preliminary, to obtain the required test data and verify the FAHP results. The results of the FAHP showed that the quality of the GSPG was 86.42, which could be classified as “Good”, whereas the field tests exhibited that the GSPG was effective, thereby verifying that the FAHP was reliable. In addition, the proposed method provided a detailed comprehension of the quality evaluation of GSPG and a frame of reference for analogous engineering.

scholarly journals Screening Quality Evaluation Factors of Freeze-Dried Peach (Prunus PersicaL. Batsch) Powders from Different Ripening Time Cultivars

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Chun-ju Liu ◽  
Hai-ou Wang ◽  
You-lin Xue ◽  
Zhong-yuan Zhang ◽  
Li-ying Niu ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Principal Component ◽  
Evaluation Process ◽  
Analytic Hierarchy ◽  
Ripening Time ◽  
Titratable Acid ◽  
Freeze Dried ◽  
Clear Differentiation ◽  
Processed Products ◽  
Hierarchy Process

The quality evaluation of processed products is complex. To simplify the quality evaluation process and improve the efficiency, fourteen evaluation factors of freeze-dried powders of seventeen cultivars of peach at different ripening times were analyzed. The most important evaluation indicators and criteria were obtained by analysis of variance (ANOVA), correlation analysis (CA), principal component analysis (PCA), system cluster analysis (SCA), and analytic hierarchy process (AHP). Results showed that the peach powders had the significant differences in quality (P<0.05), and some processing factors were related with some physicochemical and nutritional factors. Five principle components were extracted by PCA and the cumulative contribution achieved was 84.46%. Through the score plot of the first two principal components, a clear differentiation among ripening times was found and three distinct groups were separated according to ripening time. Five characteristic factors were obtained as titratable acid, browning index, hemicellulose, hygroscopicity, and vitamin C by SCA. Their weights of 0.1249, 0.3007, 0.0514, 0.4916, and 0.0315 were obtained by AHP, respectively. The peach cultivars were divided into four evaluation grades by the comprehensive quality score.

scholarly journals A comprehensive data quality evaluation method for the current of marine controlled-source electromagnetic transmitter based on Analytic Hierarchy Process

2019 ◽  
Author(s):  
Rui Yang ◽  
Meng Wang ◽  
Gongxiang Wang ◽  
Ming Deng ◽  
Jianen Jing ◽  
...  
Keyword(s):  
Electromagnetic Wave ◽  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Current Data ◽  
Analytic Hierarchy ◽  
Controlled Source ◽  
Electromagnetic Transmitter ◽  
Hierarchy Process

Abstract. Marine controlled-source electromagnetic method has more and more applications in ocean resources exploration. Electromagnetic transmitter sends electromagnetic wave to the underground, the receiver located on the seafloor receives the electromagnetic wave which carries the information of the geosphere. And the underground structure is obtained by inversion calculation. Data quality of electromagnetic transmitter and seafloor receivers is the most important part of this method. The quality level of transmitting current directly affects the signal-to-noise ratio (SNR) of the electromagnetic field data, as received by a multi-component electromagnetic receiver from the seabed. Although the transmitting current stability is sufficient under normal circumstances, the SNR of the received signal can change owing to factors such as outside noise. In some emergency cases such as instrument failure or a sudden increase in electromagnetic interference that we are not aware of, the frequency and properties of the transmitting current may change, such as its size and waveform. The traditional current monitoring and data playback tools fail to detect and evaluate the anomalies well and in a timely manner, which introduces considerable errors in the later data processing procedure. Pertaining to these issues, this paper proposes a comprehensive quality evaluation method for the transmitting current. The proposed algorithm, based on the analytic hierarchy process, is first used to analyse five current stability parameters: current frequency, positive amplitudes, negative amplitudes, discrepancy of ideal waveform, and waveform repetition and then to define the harmonic energy and calculate the quality of transmitting current (QTC) index of the final data to assess the quality of the transmitting current comprehensively. The results of a marine experiment performed in 2016 show that the algorithm can identify abnormal current data and quantitatively evaluate the current conditions. Under normal circumstances, the QTC index is within 2 %. However, after the simulation of anomalous mutations of the various attributes, the QTC index synchronized mutations to more than 4 % and some curvilinear features were observed. These results will provide a positive, significant guide for the evaluation and monitoring of transmitting current data in marine experiments.

scholarly journals A comprehensive data quality evaluation method for the currents of marine controlled-source electromagnetic transmitters based on the analytic hierarchy process

2020 ◽  
Vol 9 (1) ◽  
pp. 69-77
Author(s):  
Rui Yang ◽  
Meng Wang ◽  
Gongxiang Wang ◽  
Ming Deng ◽  
Jianen Jing ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Current Data ◽  
Sudden Increase ◽  
Analytic Hierarchy ◽  
Controlled Source ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Abstract. We present a quality control methodology for the currents of marine controlled-source electromagnetic transmitters . The quality level of the transmitting current directly affects the signal-to-noise ratio (SNR) of the electromagnetic-field data, as received by a multicomponent electromagnetic receiver from the seabed. Although the transmitting-current stability is sufficient under normal circumstances, the SNR of the received signal can change owing to factors such as outside noise. In some emergency cases such as instrument failure or a sudden increase in electromagnetic interference that we are not aware of, the frequency and properties of the transmitting current, such as its size and waveform, may change. The traditional current monitoring and data playback tools fail to detect and evaluate the anomalies well and in a timely manner, which introduces considerable errors in the later data-processing procedure. Pertaining to these issues, this paper proposes a comprehensive quality evaluation method for the transmitting current. The proposed algorithm, based on the analytic hierarchy process, is first used to analyze five current stability parameters – current frequency, positive amplitudes, negative amplitudes, discrepancy of ideal waveform, and waveform repetition – and then to define the harmonic energy and calculate the quality of transmitting current (QTC) index of the final data to assess the quality of the transmitting current comprehensively. The results of a marine experiment performed in 2016 show that the algorithm can identify abnormal current data and quantitatively evaluate the current conditions. Under normal circumstances, the QTC index is less than 2 %. The key findings are that the QTC index changes to more than 4 % and some curvilinear features are observed if the transmitting-current quality is poor. These results will provide a positive, significant guide for the evaluation and monitoring of transmitting-current data in marine experiments.

Determination QAD in Audited and Unaudited Companies

2016 ◽  
Vol 19 (2) ◽  
pp. 41-49
Author(s):  
Miroslava Vlčková
Keyword(s):  
Data Quality ◽  
Accounting Information ◽  
Basic Element ◽  
Economic Activities ◽  
Analytic Hierarchy ◽  
Accounting Data ◽  
Quality Of Accounting Information ◽  
Kolmogorov Smirnov ◽  
Hierarchy Process

Abstract Based on QAD (quality of accounting data) information it is possible to determine how the company is able to manage its economic activities. The basic element is the level of QAD perceived by users of accounting information. This article describes using the analytic hierarchy process (AHP) to get an overview to the quality of accounting information. Then there is used statistical methods T-test and Kolmogorov-Smirnov test to set the differences between QAD in audited and unaudited companies. The first step is to define the various criteria which adversely affect the quality of accounting data and then their assignment to groups according to the context. Subsequently, on the basis of Saaty’s method determine the weights of the criteria in each group and then by using the AHP method determine their importance. Then the quality of accounting data in 71 companies is determined and the differences between accounting data quality of audited companies and accounting data quality of unaudited companies are detected.

Quality Evaluation of Belt Conveyor Based on Extenics Theory

2013 ◽  
Vol 694-697 ◽  
pp. 2960-2963 ◽  
Author(s):  
Chen Liu ◽  
Xu Ming Wang
Keyword(s):  
Quality Evaluation ◽  
Element Model ◽  
Belt Conveyor ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Quality Grade ◽  
Relational Degree ◽  
Matter Element Model ◽  
Hierarchy Process

Extenics theory is used to establish the matter-element model for the quality evaluation of the belt conveyor. Introducing the relational function in the extension set theory to calculate the relational degree, defining the weights of evaluation indexes with AHP (the analytic hierarchy process), and so the quality grade of the awaiting evaluation belt conveyor can be obtained. Taking a type of belt conveyor as an example to study the practical application of the proposed method, the results show that the method possesses a certain practicability. The method can give a reasonable evaluation on the quality of belt conveyor.

scholarly journals A Comprehensive Quality Evaluation Method Based on C30-HPLC and an Analytic Hierarchy Process for the Chinese Herbal Formula, Erzhiwan

Molecules ◽  
2018 ◽  
Vol 23 (8) ◽  
pp. 2045 ◽  
Author(s):  
Ying Nie ◽  
Weifeng Yao
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Hplc Method ◽  
Good Precision ◽  
Analytic Hierarchy ◽  
Important Quality ◽  
Hierarchy Process

The quantitative analysis of multiple indexes remains an important quality evaluation method of traditional Chinese medicine (TCM) herbal formulas. The Chinese Pharmacopoeia 2015 only stipulates the content of a single component, specnuezhenide, in Erzhiwan composed of the Fructus Ligustri Lucidi (FLL) powder and aqueous extracts of Herba Ecliptae (HE). To generalize the intrinsic quality of Erzhiwan, a novel C30-HPLC method with good precision, accuracy, and reproducibility was developed for the simultaneous determination of six compounds, including two isomers, and then an analytic hierarchy process was further applied to integrate and discriminate the quality of four samples prepared via different methods. The results of the analysis were in agreement with the antioxidant tests in vitro. This comprehensive strategy could provide a reference and suggestions for the improvement of the quality evaluation method of TCM herbal formulas.

scholarly journals Evaluation of College Students’ Employment Quality Based on Analytic Hierarchy Process

2021 ◽  
Vol 257 ◽  
pp. 02076
Author(s):  
Mian Fu ◽  
Dan Dan Wang
Keyword(s):  
College Students ◽  
Quality Evaluation ◽  
College Graduates ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Employment Quality ◽  
Hierarchy Process

The employment situation of college graduates is directly related to the future development of college students, affects the role of talents in our socialist modernization construction, and relates to social harmony and stability. Taking the employment quality evaluation of college students as the research object, the paper constructs the employment quality evaluation model of graduates by establishing the evaluation index system. Through the application of AHP and the evaluation model, the employment quality of the graduates of a university in 2018 is evaluated. According to the evaluation results, it is concluded that the quality of employment should be improved from three aspects: strengthening employment guidance education, strengthening professional practice learning and improving students’ comprehensive quality.

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