Benefits comprehensive evaluation of demand response in SDN based on distant Grey Relational Analysis-Technique for Order Preference by Similarity to Ideal Solution

2016 ◽  
Author(s):  
Bai Jingmeng ◽  
Zeng Bo ◽  
Zhang Jianhua ◽  
Liu Dunnan ◽  
Zeng Ming
Keyword(s):  
Demand Response ◽  
Grey Relational Analysis ◽  
Comprehensive Evaluation ◽  
Ideal Solution ◽  
Relational Analysis ◽  
Analysis Technique ◽  
Order Preference ◽  
Grey Relational

Developing MCDM Approach Based on GRA and TOPSIS

2010 ◽  
Vol 34-35 ◽  
pp. 1931-1935 ◽  
Author(s):  
Qi Bing Wang ◽  
An Hua Peng
Keyword(s):  
Decision Making ◽  
Comprehensive Evaluation ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Comprehensive Evaluation ◽  
Multiple Criteria ◽  
Shape Similarity ◽  
Ideal Solution ◽  
Relational Analysis ◽  
Order Preference ◽  
Grey Relational

Multiple criteria decision making(MCDM) is widely used in selection from a set of available alternatives with multiple criteria, approaches to which includes fuzzy comprehensive evaluation(FCE), grey relational analysis(GRA), and technique for order preference by similarity to ideal solution(TOPSIS), and so on. First analyzes the limitations of various methods: only considering the overall effect of attribute indicators in the method of FCE, only considering the shape similarity of data curve between comparative scheme and ideal solution in GRA and only considering position approximation in TOPSIS. Second proposes a new method of comprehensive evaluation which takes into account both shape similarity and position approximation. The validity of this method has been further proved by an example of suppliers selection.

scholarly journals A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey

2021 ◽  
Vol 9 (2) ◽  
pp. 81
Author(s):  
Sami Özcan ◽  
Ali Kemal Çelik
Keyword(s):  
Decision Making ◽  
Grey Relational Analysis ◽  
Entropy Method ◽  
Sensitivity Analyses ◽  
Food Sector ◽  
Relational Analysis ◽  
Machine Selection ◽  
Order Preference ◽  
Topsis Technique ◽  
Grey Relational

<div data-canvas-width="540.0693333333334">The paper aims to compare the results of the selection/choice of cream separators by using multi-criteria decision-making methods in an integrated manner for an enterprise with a dairy processing capacity of 80 to 100 tons per day operating in the Turkish food sector. A total of 7 alternative products and 7 criteria for milk processing were determined. Criterion weights were calculated using entropy method and then integrated into TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions), GRA (Grey Relational Analysis) and COPRAS (Complex Proportional Assessment) methods. Sensitivity analyses were carried out on the results obtained from the three methods to check for their reliability. At the end of the study, similar alternative and appropriate results were found from the TOPSIS and COPRAS methods. However, different alternative but appropriate or suitable results were obtained from the GRA method. Sensitivity analysis of the three methods showed that all the methods used were valid. In the review of available and related literature, very few studies on machine selection in the dairy and food sector in general were found. For this reason, it is thought that the study will contribute to the decision-making process of companies in the dairy sector in their choice of machinery selections. As far as is known, this paper is the first attempt in extant literature to compare in an integrated manner the results of TOPSIS, COPRAS and GRA methods considered in the study.</div>

scholarly journals The Development and Application of Crop Evaluation System Based on GRA

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Ruihong Wang ◽  
Liguo Zhang ◽  
Lianjie Dong ◽  
Xiuying Lu
Keyword(s):  
Grey Relational Analysis ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Relational Theory ◽  
Grey System Theory ◽  
Network Technology ◽  
Grey System ◽  
Relational Analysis ◽  
Fuji Apple ◽  
Grey Relational

Ever since it was proposed, grey system theory has attracted the attention of scientific researchers and scholars. And it also has been widely used in many fields and solved a large number of practical problems in production, life, and scientific research. With the development and popularization of computer science and network technology, this traditional mathematical model can be applied more simply and efficiently to solve practical problems. Firstly, this paper, to implement steps of grey relational analysis, has made the exclusive analysis and has made the simple introduction to grey relational analysis characteristics. Then, based on grey relational theory and ASP.NET technology, the crop evaluation system is developed. Lastly, by using Excel and the crop evaluation system, the paper carries out a comprehensive evaluation about eight features of Fuji apple, which is from nine different producing areas, respectively. The experiment results show that the crop evaluation system is effective and could greatly improve the work efficiency of the researcher and expand the application scope.

Comprehensive evaluation of sintering basic characteristics of iron ore based on grey relational analysis

2019 ◽  
Vol 26 (7) ◽  
pp. 691-696 ◽  
Author(s):  
Dong-hui Liu ◽  
Jun-hua Li ◽  
Yue Peng ◽  
Jian-liang Zhang ◽  
Guang-wei Wang ◽  
...  
Keyword(s):  
Grey Relational Analysis ◽  
Iron Ore ◽  
Comprehensive Evaluation ◽  
Relational Analysis ◽  
Basic Characteristics ◽  
Grey Relational
Sign in / Sign up

Export Citation Format

Share Document