Prediction of photon attenuation coefficients of heavy concrete by fuzzy logic

Akkurt, I.; Başyiğit, Celalettin; Kılınçarslan, Şemsettin; Beycioğlu, Ahmet

doi:10.1016/j.jfranklin.2010.06.002

Cited by 58 publications

(16 citation statements)

References 12 publications

(18 reference statements)

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“…Finally, other possible lines of research are the use of Fuzzy Logic (e.g. [25,26]), Multiatribute Utility Theory (e.g. [27]) or Neural Networks (e.g.…”

Section: Discussionmentioning

confidence: 99%

Russell non-radial eco-efficiency measure and scale elasticity of a sample of electric/electronic products

Lozano¹,

Adenso‐Díaz²,

Barba-Gutiérrez³

2011

Journal of the Franklin Institute

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“…Finally, other possible lines of research are the use of Fuzzy Logic (e.g. [25,26]), Multiatribute Utility Theory (e.g. [27]) or Neural Networks (e.g.…”

Section: Discussionmentioning

confidence: 99%

Russell non-radial eco-efficiency measure and scale elasticity of a sample of electric/electronic products

Lozano¹,

Adenso‐Díaz²,

Barba-Gutiérrez³

2011

Journal of the Franklin Institute

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“…The linguistic variables are important part of fuzzy logic too. The utilization of fuzzy logic in civil engineering as well as in related branches is shown in selected studies [7][8][9][10][11].…”

Section: Basic Concepts Of the Fuzzy Sets Theorymentioning

confidence: 99%

Selection of Construction Project Taking into Account Technological and Organizational Risk

Ibadov

2017

Acta Phys. Pol. A

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During the implementation of construction projects, there is permanently a certain level of technological and organizational risk. This is due to the fact that the data on conditions for a construction project tend to have different levels of uncertainty. Even the projects of the same size and terms of implementation vary. The failure risk of individual works results from technological and organizational factors, such as, for example, the difficulty of technological execution of individual works; availability of construction materials; the difficulty of the organization of individual works; availability of qualified personnel, availability of necessary machinery and equipment in the technology, etc. These factors affect the time and the cost of construction projects. When taking into account their influence, while selecting an option for construction project, it is crucial to maintain the contractual cost and time. An example of the option selection for construction project implementation is presented in this article, including technological and organizational risk, using the fuzzy sets theory and linguistic variables.

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“…Mamdani's method is the most commonly seen fuzzy methodology and it expects the output MFs to be fuzzy sets. After the aggregation process, there is a fuzzy set for each output variable that needs defuzzification [40].…”

Section: If (Bitumen-% Is B3) and (Fiber-% Is F1) And (Unitweight Is mentioning

confidence: 99%

Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logic

Serin

Morova

Saltan

et al. 2014

Journal of Intelligent &Amp; Fuzzy Systems

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In this study, Marshall Stability (MS) of steel fiber reinforced asphalt concrete has been predicted using steel fiber rate (0%, 0.25%, 0.50%, 0.75%, 1.0%, 1.5%, 2.0% and 2.5%), bitumen content (5%, 5.5% and 6.0%) and unit weights (2,465-2,515 (gr/cm 3 )) by Fuzzy Logic (FL). Results have shown that developed FL model has a strong potential for predicting the MS of asphalt concrete without performing any experimental studies.

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Prediction of photon attenuation coefficients of heavy concrete by fuzzy logic

Cited by 58 publications

References 12 publications

Russell non-radial eco-efficiency measure and scale elasticity of a sample of electric/electronic products

Russell non-radial eco-efficiency measure and scale elasticity of a sample of electric/electronic products

Selection of Construction Project Taking into Account Technological and Organizational Risk

Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logic

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