دورية أكاديمية
MULTI-CRITERIA DECISION MAKING FOR CEMENT MORTAR MIXTURE SELECTION BY FUZZY TOPSIS
| العنوان: | MULTI-CRITERIA DECISION MAKING FOR CEMENT MORTAR MIXTURE SELECTION BY FUZZY TOPSIS |
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| المؤلفون: | Eyyüp Gülbandılar, Serel Özmen Akyol, Yılmaz Koçak |
| المصدر: | Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, Vol 27, Iss 2, Pp 77-84 (2019) |
| بيانات النشر: | Eskişehir Osmangazi University, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | fuzzy topsis, multi-criteria decision making, cement mortar, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | Cement mortar mixture consists of different materials as the content. The materials which make up this mixture and the selection of this mixture have a vital proposition for the constructions in which this mixture is used. In this selection process, it is very complicated to decide which one material and how to use in the selection. Fuzzy decision-making theory is a very useful algorithm that can be used in such decision-making problems. In this study, it was preferred to use the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to find the best cement mortar mixture. For this purpose, the optimum sorting was done for 40 alternatives using five criteria to determine the best cement mortar mixture. These five criteria used are; The age of the samples (days), fly ash (FA), silica fume (SF), compressive strength (MPa) and ration of FA+SF mixtures. As a result, this study show that is possible to have multiple decision makers participate in the decision with different weights. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Turkish |
| تدمد: | 2630-5712 |
| Relation: | https://doaj.org/toc/2630-5712 |
| DOI: | 10.31796/ogummf.535998 |
| URL الوصول: | https://doaj.org/article/ca43ee9b28c0423b9374ccbbfa933a7c |
| رقم الأكسشن: | edsdoj.43ee9b28c0423b9374ccbbfa933a7c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26305712 |
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| DOI: | 10.31796/ogummf.535998 |