An Evaluation Scheme of Skywave Radar Coverage of Ship Target Based on GRG

2013 ◽  
Vol 427-429 ◽  
pp. 888-891
Author(s):  
S.H. Liu ◽  
W. Sheng ◽  
X.H. Zhang
Keyword(s):  
Quantitative Evaluation ◽  
Analytical Hierarchy Process ◽  
Calculation Method ◽  
Quantitative Calculation ◽  
Evaluation Scheme ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Hierarchy Process

An evaluation scheme of skywave radar coverage of ship target is researched. On the basis of fifteen kinds of indexes of the skywave radar coverage, a sort of model of coverage quantitative evaluation with three levels of hiberarchy is established by means of the modified analytical hierarchy process (AHP) based on grey relational grade (GRG), the quantitative calculation method of all level indexes is discussed, and the effectiveness ofthe model is verified. This method solve the problem in AHP effectively. The result shows that the evaluation scheme of skywave radar coverage is feasibility.

A Multi-Criteria Image Quality Evaluation Scheme

2013 ◽  
Vol 284-287 ◽  
pp. 2975-2979
Author(s):  
Yen Ching Chang ◽  
Chun Ming Chang ◽  
Liang Hwa Chen ◽  
Tung Jung Chan
Keyword(s):  
Image Quality ◽  
Contrast Enhancement ◽  
Quality Evaluation ◽  
Experimental Results ◽  
Human Vision ◽  
Effective Mechanism ◽  
Image Quality Evaluation ◽  
Evaluation Scheme ◽  
Grey Relational Grade ◽  
Grey Relational

It is difficult to objectively and quantitatively judge image quality by a single criterion, such as contrast. In general, excessive contrast enhancement easily leads to a loss of image quality. Thus, it easily gives a wrong evaluation to rank image quality according to contrast values. In order to achieve a consistent result with human vision perception, balancing multi-criteria will be a feasible approach. Therefore, we propose a multi-criteria image quality evaluation scheme for ranking seven existing contrast enhancement methods. The scheme applies four criteria to a newly proposed way of computing a grey relational grade (GRGd), called the consistent grey relational grade (CGRGd). Experimental results show that our proposed CGRGd do provides a very effective mechanism to choose the best method for a specific purpose.

scholarly journals Integrated analytical hierarchy process and grey relational analysis approach to measure supply chain complexity

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sujan Piya ◽  
Ahm Shamsuzzoha ◽  
Mohammed Khadem ◽  
Mahmoud Al Kindi
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Grey Relational Analysis ◽  
Extensive Literature ◽  
Content Type ◽  
Relational Analysis ◽  
Grey Relational ◽  
Hierarchy Process

PurposeThe purpose of this paper is to understand the drivers that create complexity in the supply chain and develop a mathematical model to measure the level of supply chain complexity (SCC).Design/methodology/approachThrough extensive literature review, the authors discussed various drivers of SCC. These drivers were classified into five dimensions based on expert opinion. Moreover, a novel hybrid mathematical model was developed by integrating analytical hierarchy process (AHP) and grey relational analysis (GRA) methods to measure the level of SCC. A case study was conducted to demonstrate the applicability of the developed model and analyze the SCC level of the company in the study.FindingsThe authors identified 22 drivers of SCC, which were further clustered into five complexity dimensions. The application of the developed model to the company in the case study showed that the SCC level of the company was 0.44, signifying that there was a considerable scope of improvement in terms of minimizing complexity. The company that serves as the focus of this case study mainly needs improvement in tackling issues concerning government regulation, internal communication and information sharing and company culture.Originality/valueIn this paper, the authors propose a model by integrating AHP and GRA methods that can measure the SCC level based on various complexity drivers. The combination of such methods, considering their ability to convert the inheritance and interdependence of drivers into a single mathematical model, is preferred over other techniques. To the best of the authors' knowledge, this is the first attempt at developing a hybrid multicriteria decision-based model to quantify SCC.

scholarly journals Development IT Adoption Method for E-learning in Merged University

2017 ◽  
Vol 1 (02) ◽  
pp. 10-17
Author(s):  
Bayu Rima Aditya ◽  
Mary Handoko Wijoyo
Keyword(s):  
Analytical Hierarchy Process ◽  
Calculation Method ◽  
It Adoption ◽  
Maturity Level ◽  
Utaut Model ◽  
Hype Cycle ◽  
E Learning ◽  
Adoption Model ◽  
Adopter Categories ◽  
Hierarchy Process

This research presents an overview to develop an IT adoption method for e-learning in a Merged University. The development of IT adoption method in the Merged University is done by adjusting the gap between three elements: IT maturity level (in this case IT for elearning), category adopter of each Merged University and IT adoption criteria of individual actors of adoption. The maturity level of IT maturity level refers to Gartner, Hype Cycle, and Priority Matrix. Classification groups refer to adopter categories according to Rogers. The adoption model uses UTAUT model. For the process, a priority calculation method utilizes Analytical Hierarchy Process (AHP). IT adoption method for e-learning in a Merged University has been tested and can be applied Telkom University, formed from four universities.

Comparative Study of GRA and MOORA Methods

2016 ◽  
pp. 132-146
Author(s):  
Kalpesh D. Maniya
Keyword(s):  
Analytical Hierarchy Process ◽  
Textile Industry ◽  
Entropy Method ◽  
Ranking Performance ◽  
Determination Methods ◽  
Ranking Order ◽  
Grey Relational ◽  
Moora Method ◽  
Hierarchy Process ◽  
Selection Of

This chapter present the study of comparative assessment of Grey Relational Analysis (GRA) method and Multi Objective Optimization on the basis of Ratio Analysis (MOORA) method with considering two distinct weight determination methods named Analytical Hierarchy Process (AHP) method and Entropy method for ranking and selection of Two For One (TFO) machine used in Textile industry. TFO machines are used in textile industry to improve the properties of yarn by twisting. The ranking performance of GRA method and MOORA method is compared with each other with reference to ranking order obtained using different weight determination method and it explore effectiveness and simplicity of MOORA method for selection of best TFO machine.

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