Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2018 / Cilt: 36 - Sayı: 3

THE SELECTION OF MATERIAL IN DENTAL IMPLANT WITH ENTROPY BASED SIMPLE ADDITIVE WEIGHTING AND ANALYTIC HIERARCHY PROCESS METHODS

Sayfa
731–740
Yayın Tarihi
2018-09-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

At the end of our analysis, it was determined that the best material to be used in implant design is chromium cobalt according to the Entropy based Simple Additive Weighting and Analytic Hierarchy Process methods.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The aim of our study is the determination of the most suitable material to be used as a dental implant with the help of Entropy based Simple Additive Weighting and Analytical Hierarchy Process which are the two from multi-criteria decision making methods.
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Temel Bulgular & Veri:Three important criteria in fulfilling this purpose have been chosen: young’s modulus, yield strength and hardness criteria.
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Sonuç & Katkı:At the end of our analysis, it was determined that the best material to be used in implant design is chromium cobalt according to the Entropy based Simple Additive Weighting and Analytic Hierarchy Process methods.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Multi-criteria decision making · entropy based simple additive weighting method · analytic hierarchy process

Abstract

The aim of our study is the determination of the most suitable material to be used as a dental implant with the help of Entropy based Simple Additive Weighting and Analytical Hierarchy Process which are the two from multi-criteria decision making methods. Three important criteria in fulfilling this purpose have been chosen: young’s modulus, yield strength and hardness criteria. Materials alternatives are chrome cobalt, nickel, nickel titanium, titanium, and stainless steel. Of these alternatives, it has been tried to be determined the most suitable one for the sake of both health and transactional characteristics. At the end of our analysis, it was determined that the best material to be used in implant design is chromium cobalt according to the Entropy based Simple Additive Weighting and Analytic Hierarchy Process methods.

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Bu Makaleye Atıf Yap

ŞENYİĞİT, E., DEMİREL, B. (2018). THE SELECTION OF MATERIAL IN DENTAL IMPLANT WITH ENTROPY BASED SIMPLE ADDITIVE WEIGHTING AND ANALYTIC HIERARCHY PROCESS METHODS. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 36 - Sayı: 3, 731–740. https://ajindex.com/articles/419331

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Kaynakça (12)

  1. Öztürk D., Batuk F. (2007) Criterion weighting in multicriteria decision making, Journal of Engineering and Natural Sciences 25 (1), 86-98
  2. Dağdeviren M., Eren T. (2001) Analytical Hierarchy Process and use of 0-1 goal programming methods in selecting supplier firm, Journal of the Faculty of Engineering and Architecture of Gazi University 16 (2) 41-52
  3. Karaman B., Çerçioğlu H. (2015) 0-1 Goal programming aided AHP–VIKOR integrated method: An application of hospital investment project selection, Journal of the Faculty of Engineering and Architecture of Gazi University 30 (4) 567-576
  4. Üstün A. K., Anagün A. S. (2016) Determination of importance weights of Istanbul’s Districts using Analytic Hierarchy Process, Journal of the Faculty of Engineering and Architecture of Gazi University 31 (1) 119-128
  5. Yerlikaya M. A., Arıkan F. (2016) Constructing the performance effectiveness order of SME supports programmes via Promethee and Oreste techniques, Journal of the Faculty of Engineering and Architecture of Gazi University 31 (4) 1007-1016
  6. Şenyiğit E., Demirel B. (2017) Determination of the material for the carbonated soft drink packaging with multi-criteria decision making methods, Sigma Journal of Engineering and Natural Sciences 35 (3) 471-480
  7. Kwathani G., Kar A. K. (2017) Improving the Cosine Consistency Index for the analytic hierarchy process for solving multi-criteria decision making problems, Applied Computing and Informatics 13, 118–129
  8. Marttunen M., Lienert J., Belton V. (2017) Structuring problems for Multi-Criteria Decision Analysis in practice: A literature review of method combinations, European Journal of Operational Research 263, 1–17
  9. Ömürbek N., Karaatlı M., Balcı H.F. (2016) Analysing the Performances of Automotive Companies Using Entropy Based MAUT and SAW Methods, Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal 31 (1), 227-255
  10. Urmak E. D., Çatal Y., Karaatlı M. (2017) Evaluation of the cities of forestry with the AHP based MAUT and SAW methods, Suleyman Demirel University The Journal of Faculty of Economics and Administrative Sciences 22 (2), 301-325
  11. Chu M-E., Shyu J., Tzeng G-H., Khosla R. (2017) Comparison among three analytical methods for knowledge communities group-decision analysis, Expert Systems with Applications 33, 1011–1024
  12. Kaliszewski I., Podkopaev D. (2016) Simple additive weighting—A metamodel for multiple criteria decision analysis methods, Exp