Grey relation analysis of motor vehicular energy consumption in Taiwan

Lu, I. J.; Lin, Sue J.; Lewis, Charles

doi:10.1016/j.enpol.2008.03.015

Cited by 54 publications

(25 citation statements)

References 12 publications

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“…Grey system theory offers the advantages of minimal data requirements, simplicity of use, and reasonable expected results (Liu, Lin, and Lewis 2008). The GRA method, which entails first translating the performance of all alternatives into a comparability sequence, has been successfully applied to the solution of a variety of Multiple Attribute Decision Making problems.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the operating performance of automated and traditional container terminals

Yang

Shen²

2013

International Journal of Logistics Research and Applications

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This paper explores key factors affecting the operating performance of container terminals, and compares the performance of various container yard (CY) facilities at the port of Kaohsiung using grey relational analysis (GRA) and the concept of entropy. The paper's findings can be summarised as follows: (1) The most important attributes affecting the operating performance of CY equipment include number of CY facilities, transport distance of CY tractors, speed of movement of CY facilities, handling efficiency of CY facilities, and number of working tractors. (2) Based on entropy weighting value and GRA, CY handling facilities can be ranked in terms of operating performance in the order of automatic rail transtainer, automatic stacking crane, rail transtainer, straddle carrier, and rubber tyred transtainer. (3) From both operating performance and green terminal perspectives, automatic rail transtainers represent the optimal CY model compared with other container handling facilities.

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Section: Introductionmentioning

confidence: 99%

Comparison of the operating performance of automated and traditional container terminals

Yang

Shen²

2013

International Journal of Logistics Research and Applications

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“…On the contrary, if one may not achieve any information and characteristics about the system, then it is considered as a black system. Gray space is thus a system described between the white and black systems (Lu et al, 2008). The gray system theory is used to handle obscure problems discrete data and incomplete data.…”

Section: Gray Relational Analysis (Gra)mentioning

confidence: 99%

A state-of-art survey on project selection using MCDM techniques

Sadi‐Nezhad¹

2017

10.5267/j.jpm

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Project selection is considered as the first essential part of project portfolio management. Project selection is also considered as a process to evaluate each project idea and chooses the one with the biggest priority. Project selection plays an essential role in the entire life cycle of different projects. This paper presents a survey for project selection using multiple criteria decision making techniques. The study considers 60 papers from over the period 1980-2017. The results of the survey have indicated that integration of Order of Preference by Similarity to Ideal Solution (TOPSIS) and analytical hierarchy process/analytical network process was the most popular techniques for project selection followed by VIKOR method.2017 Growing Science Ltd.

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“…The primary description of greyness is information being incomplete or unknown, thus an element from the incomplete message is adopted as grey elements. Grey Relation Analysis method measures the relations among the factors, and its definitions in mathematics (Wang, 2008;Lu et al, 2008). Grey Relational Analysis is broadly applied in evaluating or judging the performance of a complex project with meager information (Sentilkumar et al, 2014).…”

Section: Grey Relational Analysismentioning

confidence: 99%