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Authors: Kunli Wen 1 and Meili You 2

Affiliations: 1 Department of Electrical Engineering Education, Chienkuo Technology University, Changhua and Taiwan, China ; 2 Department of General Education, Chienkuo Technology University, Changhua and Taiwan, China

Keyword(s): Soft computing, Technique for order preference by similarity to ideal solution, Globalization grey relational grade, Objective weighting.

Abstract: Quite a lot of soft computing models have over the past few years been developed. They are developed to meet different purposes and needs. These models, however, may not satisfy the technique for order preference by similarity to ideal solution (TOPSIS). Aware of this phenomenon, the present study applied globalization grey relational grade of the grey system to convert subjective weighting in the computing process of technique for order preference by similarity to ideal solution into objective weighting. Data analysis demonstrated that applying grey relational grade to cardinal technique for order preference by similarity to ideal solution was not only rational but also could transfer ordinal answer into cardinal answer.

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Paper citation in several formats:
Wen, K. and You, M. (2019). The Cardinal TOPSIS via Grey Relational Grade. In The Second International Conference on Materials Chemistry and Environmental Protection - MEEP; ISBN 978-989-758-360-5, SciTePress, pages 293-296. DOI: 10.5220/0008189002930296

@conference{meep19,
author={Kunli Wen. and Meili You.},
title={The Cardinal TOPSIS via Grey Relational Grade},
booktitle={The Second International Conference on Materials Chemistry and Environmental Protection - MEEP},
year={2019},
pages={293-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008189002930296},
isbn={978-989-758-360-5},
}

TY - CONF

JO - The Second International Conference on Materials Chemistry and Environmental Protection - MEEP
TI - The Cardinal TOPSIS via Grey Relational Grade
SN - 978-989-758-360-5
AU - Wen, K.
AU - You, M.
PY - 2019
SP - 293
EP - 296
DO - 10.5220/0008189002930296
PB - SciTePress

- Science and Technology Publications, Lda.
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