Study on Grindability Evaluation of Ceramic Materials Based on Interval Gray Principal Component Analysis

2013 ◽  
Vol 690-693 ◽  
pp. 546-549
Author(s):  
Ji Mei Xia
Keyword(s):  
Influencing Factors ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Degree Sequence ◽  
Principal Component ◽  
Ceramic Materials ◽  
Comprehensive Evaluation Method ◽  
Engineering Ceramic ◽  
Grey Relational Coefficient ◽  
Grey Relational

A new comprehensive evaluation method for grindability of ceramic materials is advanced. The mechanical property parameters of ceramic materials are selected as influencing factors for grindability, the interval sample matrices are established, the interval grey relational coefficient matrices are calculated and the factors weights determined by the eigenvectors. The important degree sequence of influencing factors and comprehensive evaluation value of grindability for ceramic materials are obtained. Seven typical engineering ceramic materials are analyzed using the method, the objective and comprehensive results are gained.

Comparative Study on Indoor Air Quality Evaluation Method

2012 ◽  
Vol 178-181 ◽  
pp. 267-271
Author(s):  
Xing Yang Leng ◽  
Ping Jiang
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Index Method ◽  
Comprehensive Evaluation Method ◽  
Comprehensive Index Method ◽  
Grey Relational

This paper reviewed six kinds of indoor air quality (IAQ) evaluation methods, by which the same IAQ status were evaluated. Besides, the relations and distinctions of six methods were also analyzed. The results indicate that the evaluation results of different methods on the same sample are not identical. Fuzzy comprehensive evaluation method, pollution loss rate method and comprehensive index method are relatively accurate, and improved grey relational analysis method has the largest error.

A Fuzzy Approach to Assess the Contractor’s Competitiveness

2011 ◽  
Vol 71-78 ◽  
pp. 3946-3949 ◽  
Author(s):  
Na Dong ◽  
Jing Zhang ◽  
Min Jiu Yu
Keyword(s):  
Influencing Factors ◽  
Quantitative Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Criteria ◽  
Qualitative Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Approach ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

A competitive contractor is the guarantee of project’s success, so how to choose a suitable contractor is critical for the owners. However, among the influencing factors considered in the selection, some can be quantitatively evaluated with clear evaluation criteria while others can only be qualitative evaluated so that no specific scores can be obtained. For the above reasons an improved fuzzy comprehensive evaluation method is proposed in which all assessment factors are divided into two categories and are evaluated with different criteria. The method integrates the advantage of quantitative evaluation and qualitative evaluation. Finally it is verified by a case and the result shows that the application of the improved fuzzy approach to choose contractor is effective and reasonable.

An Evaluation Method Based on Grey Relational Grade for Cutting Tool Performance in the Milling of Titanium Aircraft Components

2016 ◽  
Vol 836-837 ◽  
pp. 270-276 ◽  
Author(s):  
Yu Pei Jia ◽  
Wei Zhao ◽  
Liang Li
Keyword(s):  
Evaluation Method ◽  
Cutting Tool ◽  
Comprehensive Evaluation ◽  
Cutting Tools ◽  
Processing Route ◽  
Comprehensive Evaluation Method ◽  
Tool Performance ◽  
Evaluation Models ◽  
Grey Relational Grade ◽  
Grey Relational

Cutting tools play an important role in the cutting process of titanium aircraft components, but it is difficult to comprehensively evaluate the cutting tool performance, so the selection of appropriate cutting tool becomes extremely important. In this paper, an evaluation method using grey relational analysis for cutting tool performance was proposed. Meanwhile, in this method, a test benchmark with some typical difficult-to-machined features extracted from titanium aircraft components was designed, and the processing route was developed. Grey comprehensive evaluation models of cutting tool performance were established for the rough and finish machining respectively. Finally, the grey comprehensive evaluation models were used to evaluate the cutting tool performance in the milling experiments of the benchmarks. The results show that the grey relational comprehensive evaluation method is convenient and effective to evaluate milling tools performance for titanium aircraft components.

Research on Competitiveness Difference of Economic Cooperation Harbor City in Beibu Gulf Rim Based on the Grey Relation Comprehensive Evaluation

2012 ◽  
Vol 430-432 ◽  
pp. 1000-1004 ◽  
Author(s):  
Hai Feng Zhang ◽  
Yan Chen ◽  
Jin Ping Pei
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Economic Cooperation ◽  
Evaluation Index System ◽  
Beibu Gulf ◽  
Large Area ◽  
Comprehensive Evaluation Method ◽  
Leadership Group ◽  
Grey Relational ◽  
Challenge Group

Through building the evaluation index system of economic cooperation harbor city competitiveness in Beibu Gulf Rim, by using grey relational comprehensive evaluation method, and taking evaluation and comparison in science for competitiveness of economic cooperation harbor city in Beibu Gulf Rim.The results show that the competitiveness of economic cooperation harbor city in Beibu Gulf Rim presents a unbalanced difference distribution of four large area which contains leadership group, challenge group, chasing group and lagging group, then relevant policy suggestions are respectively presented for competitiveness of four large area and cities.

Research on a Multi-Index Comprehensive Evaluation Method for Surface Water Quality Assessment

2014 ◽  
Vol 1010-1012 ◽  
pp. 321-324 ◽  
Author(s):  
Xian Lin Meng ◽  
Guang Liang Fan ◽  
Xiao Hui Cao ◽  
Jun Guo He ◽  
Jian Hua Qu
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Surface Water ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Correlation Method ◽  
Surface Water Quality ◽  
Principal Component ◽  
Comprehensive Evaluation Method ◽  
Grey Correlation

The evaluation of surface water quality is a problem which relates to whether the environmental function and value do possess or not in the water. A new comprehensive evaluation method which combines Principal Component Analysis (PCA) and the weighted grey correlation method was presented in this paper. The reduction of indicators and the weakening of the multiple correlation among indicators were considered in Principal Component Analysis. According to different functional areas categories of every section, the weighted grey correlation method could determine the evaluation indicator’s weights, strengthen the effect of concerntrations of indicators and consider each indicator’s impact. The Mudanjiang River downstream sections were used as the research object. Based on the water quality monitoring data of typical monitoring section in 2013, the study on the environmental quality assessment of downstream section in mudanjiang was given in this paper. The efficiency of the evaluation process and the accuracy of the results can be improved.

scholarly journals Influencing Factors of Logistics Management Students’ Participation in Innovation and Entrepreneurship Competitions

2021 ◽  
Vol 2 (2) ◽  
pp. 24-29
Author(s):  
Jia-Ying Ying ◽  
Meng Chen
Keyword(s):  
Influencing Factors ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Logistics Management ◽  
Analytic Hierarchy ◽  
Comprehensive Evaluation Method ◽  
Management Students ◽  
Hierarchy Process ◽  
Innovation And Entrepreneurship

In the era of “mass entrepreneurship and innovation”, society has gradually increased the requirements for students’ innovation and entrepreneurship capabilities. The article takes the logistics management major of Xiamen University Tan Kah Kee College as the research object, uses the analytic hierarchy process and the fuzzy comprehensive evaluation method to analyze the influencing factors of students’ participation in innovation and entrepreneurship activities with targeted solutions proposed in the final.

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