Journals / Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi / 2019 / Cilt: 27 Sayı: 2

MULTI-CRITERIA DECISION MAKING FOR CEMENT MORTAR MIXTURE SELECTION BY FUZZY TOPSIS

BULANIK TOPSIS ILE ÇIMENTO HARCI KARIŞIMI SEÇIMI İÇIN ÇOKLU KRITERLI KARAR VERME

Pages
77–84
Publication Date
2019-08-15
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, this study shows that the presented fuzzy TOPSIS model is able to effectively evaluate fuzziness in the multi-criteria decision process.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Cement mortar mixture consists of different materials as the content.
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Key Findings & Data:For this purpose, the optimum sorting was done for 40 alternatives using five criteria.
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Conclusion & Impact:As a result, this study shows that the presented fuzzy TOPSIS model is able to effectively evaluate fuzziness in the multi-criteria decision process.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bulanık TOPSIS · Çok Kriterli Karar Verme · Çimento Karışımı

Abstract

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 decisionmaking theory is a very useful method 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. 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 shows that the presented fuzzy TOPSIS model is able to effectively evaluate fuzziness in the multi-criteria decision process.

Özet

Çimento harcı karışımı, içerik olarak farklı malzemelerden oluşmaktadır. Bu karışımı oluşturan malzemeler ve bu karışımın seçimi, bu karışımın kullanıldığı yapılar için hayati öneme sahiptir. Bu seçim sürecinde hangi malzemenin seçileceğine ve nasıl kullanılacağına karar vermek çok karmaşıktır. Bulanık karar verme teorisi, bu tür karar verme problemlerinde kullanılabilecek çok kullanışlı bir yöntemdir. Bu araştırmada, en iyi çimento harcı karışımını bulmak için bulanık TOPSIS yönteminin kullanılması tercih edilmiştir. Bu amaçla, beş kriter kullanılarak 40 adet alternatif için ideal sıralama yapılmıştır. Kullanılan bu beş kriter; numunelerin yaşı (gün), uçucu kül (FA), silis dumanı (SF), basınç dayanımı (MPa) ve FA + SF karışımları oranıdır. Sonuç olarak, bu çalışma sunulan bulanık TOPSIS modelinin çok kriterli karar sürecinde belirsizliği etkili bir şekilde değerlendirebildiğini göstermektedir.

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Cite This Article

GÜLBANDILAR, E., AKYOL, S. Ö., KOÇAK, Y. (2019). MULTI-CRITERIA DECISION MAKING FOR CEMENT MORTAR MIXTURE SELECTION BY FUZZY TOPSIS. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, Cilt: 27 Sayı: 2, 77–84. https://ajindex.com/articles/905127

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References (2)

  1. Aruntas, H.Y. (2006). The potential of fly ash usage in construction sector, Journal of The Faculty of Engineering and Architecture of Gazi University, 21(1), 193–203.Behnood, A. and Ziari, H. (2008). Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures, Cement and Concrete Composites, 30, 106–112.Chen, C.T. (2000). Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment, Fuzzy Sets and Systems, 114, 1-9.Chen, S.M. (1997). A new method for tool steel materials selection under fuzzy environment, Fuzzy Sets and Systems, 92, 265-274.Fu, X., Wang, Z., Tao, W., Yang, C., Hou, W., Dong, Y. and Wu, X. (2002). Studies on blended cement with a large amount of fly ash, Cement and Concrete Research, 32(7), 1153–1159.Garces, P., Andion, L. G., Zornoza, E., Bonilla, M. and Paya, J. (2010). The effect of processed fly ashes on the durability and the corrosion of steel rebars embedded in cement–modified fly ash mortars, Cement and Concrete Composites, 32, 204–210.Jo, B.W., Kim, C.H., Tae, G. and Park, J. B. (2007). Characteristics of cement mortar with nano-SiO2 particles, Construction and Building Materials, 21, 1351–1355.Kelemenis, A. and Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection, Expert Systems with Applications, 37 (7), 4999–5008.Kocak, Y. (2010). A study on the effect of fly ash and silica fume substituted cement paste and mortars, Scientific Research and Essays, 5(9), 990–998.Lin, J., Zhangb Q. and Meng F. (2015). An approach for facility location selection based on optimal aggregation operator, Knowledge-Based Systems, 85, 143–158.Ma, J., Lu, J. and Zhang, Z. (2010). Decider: A fuzzy multi-criteria group decision support system, Knowledge-Based Systems, 23, 23–31.Maas, A.J., Ideker, J.H. and Juenger, M.C.G. (2007). Alkali silica reactivity of agglomerated silica fume, Cement and Concrete Research, 37, 166–174.Maity S.R. and Chakraborty S. (2015). Tool steel material selection using PROMETHEE II method, International Journal of Advanced Manufacturing Technology, 78, 1537–1547.Neville, A. M. (2006).
  2. Properties of concrete, England: Pearson Education Limited.Nochaiya, T., Wongkeo, W. and Chaipanich, A. (2010). Utilization of fly ash with silica fume and properties of Portland cement–fly ash–silica fume concrete, Fuel, 89, 768–774.Ozdagoglu, A. (2012). Evaluation of Hydraulic Guillotine Alternatives with TOPSIS Method for