A Hybrid Fuzzy MCDM Methodology for Optimal Structural System Selection Compatible with Sustainable Materials in Mass-Housing Projects
Sustainability, Vol. 14, Ocak 2022, ISSN: 2071-1050
AGHAZADEH EBRAHİM, YILDIRIM HASAN, KURUOĞLU MURAT
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An integrated multi criteria group decision making approach to efficient supplier selection and clustering using fuzzy preference relations
International Journal of Computer Integrated Manufacturing, Vol. 24, No. 12, Aralık 2011, s. 1152-1167, ISSN: 0951-192X
ERTAY TİJEN,KAHVECİ A,TABANLI RAMAZAN MURAT
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Local Geoid Determination by Fuzzy Inference Systems: Case Studies in Turkey
The First Symposium of International Gravity Field Service: Gravity Field of the Earth, 28 Ağustos 2006
ACAR MUSTAFA,ÖZLÜDEMİR MUSTAFA TEVFİK,EROL BİHTER,ÇELİK RAHMİ NURHAN,AYAN TEVFİK
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Geoid Surface Approximation by Using Adaptive Network based Fuzzy Inference Systems
Allgemeine Vermessungs-Nachrichten, No. 89, 2003, s. 308
AKYILMAZ ORHAN,TEVFİK AYAN,ÖZLÜDEMİR MUSTAFA TEVFİK
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Local Geoid Surface Approximation by Fuzzy Inference Systems Case Studies in Turkey
Harita Dergisi, No. 18, 2006, s. 9, ISSN: 13005790
ACAR MUSTAFA,ÖZLÜDEMİR MUSTAFA TEVFİK,ÇELİK RAHMİ NURHAN,AYAN TEVFİK
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A modified interval valued intuitionistic fuzzy CODAS method and its application to multi-criteria selection among renewable energy alternatives in Turkey
Applied Soft Computing, Vol. 96, No. 106660, Kasım 2020, ISSN: 1568-4946
DEVECİ KAAN, CİN RABİA, KAĞIZMAN AHMET
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Modeling the initiation of sediment motion under a wide range of flow conditions using a Geno-Mamdani Fuzzy Inference System method
International Journal of Sediment Research, Vol. 35, No. 5, Ekim 2020, s. 467-483, ISSN: 1001-6279
BİZİMANA HUSSEİN,ALTUNKAYNAK ABDÜSSELAM
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A novel approach for the prediction of the incipient motion of sediments under smooth, transitional and rough flow conditions using Geno-Fuzzy Inference System model
Journal of Hydrology, Vol. 577, Ekim 2019, s. 123952, ISSN: 0022-1694
ALTUNKAYNAK ABDÜSSELAM,BİZİMANA HUSSEİN
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Discussion of fuzzy logic model to predict hydraulic jump aeration efficiency by S.Küçükali and Ş. Çokgör
Water Management, No. 163, 2010, s. 98-99
ALTUNKAYNAK ABDÜSSELAM
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Comparative Case Study of Rainfall-Runoff Modeling between SWMM and Fuzzy Logic Approach
Journal of Hydrologic Engineering, Vol. 17, No. 2, Şubat 2012, s. 283-291, ISSN: 1084-0699
WANG KEH-HAN,ALTUNKAYNAK ABDÜSSELAM
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A novel Geno-fuzzy based model for hydrodynamic efficiency prediction of a land-fixed oscillating water column for various front wall openings, power take-off dampings and incident wave steepnesses
Elsevier BV, Vol. 196, Ağustos 2022, ISSN: 0960-1481
ALTUNKAYNAK ABDÜSSELAM, ÇELİK ANIL
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Fuzzy logic approach to conventional rubble mound structures design
EXPERT SYSTEMS WITH APPLICATIONS, Vol. 36, No. 3, Nisan 2009, s. 4162-4170, ISSN: 0957-4174
ERDİK TARKAN
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A Discussion on “Application of neuro-fuzzy approach in prediction of runup in swash zone” [Applied Ocean Research (2008), doi:10.1016/j.apor.2008.02.004]
Applied Ocean Research, Vol. 30, No. 3, Temmuz 2008, s. 239-240, ISSN: 01411187
ERDİK TARKAN
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Discussion on “A Wavelet-neuro-fuzzy Combined Approach for Digital Relaying of Transmission Line Faults”
ELECTRIC POWER COMPONENTS AND SYSTEMS, Vol. 36, No. 12, Kasım 2008, s. 1388-1389, ISSN: 1532-5008
ERDİK TARKAN,ŞEN ZEKAİ
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Discussion on A Wavelet-neuro-fuzzy Combined Approach for Digital Relaying of Transmission Line Faults
ELECTRIC POWER COMPONENTS AND SYSTEMS, Vol. 36, No. 12, 2008, s. 1388-1389, ISSN: 1532-5008
ERDİK TARKAN,ŞEN ZEKAİ
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Comment on ‘Firat M, Güngor M. 2008. Hydrological time-series modelling using an adaptive neuro-fuzzy inference system. 22: 2122-2132’
HYDROLOGICAL PROCESSES, Vol. 23, No. 5, Şubat 2009, s. 793-794, ISSN: 0885-6087
ERDİK TARKAN
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Comment on: “Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems” [Comput. Math. Appl. 54 (2007) 1395–1402]
COMPUTERS MATHEMATICS WITH APPLICATIONS, Vol. 56, No. 7, Ekim 2008, s. 1901-1902, ISSN: 0898-1221
ERDİK TARKAN,ŞEN ZEKAİ
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Discussion on “Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system”
Environmental Geology, Vol. 57, No. 3, Nisan 2009, s. 715-715, ISSN: 0943-0105
ERDİK TARKAN
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Comments on ‘A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass’
Journal of Earth System Science, Vol. 117, No. 6, Aralık 2008, s. 973-974, ISSN: 0253-4126
ERDİK TARKAN
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Discussion on “Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic” [Comput. Mater. Sci. 41 (2008) 305]
COMPUTATIONAL MATERIALS SCIENCE, Vol. 44, No. 3, Ocak 2009, s. 1022, ISSN: 0927-0256
ERDİK TARKAN
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