Rule-based Mamdani type fuzzy logic model for the prediction of compressive strength of silica fume included concrete using non-destructive test results

2012 ◽  
Vol 22 (6) ◽  
pp. 1133-1139 ◽  
Author(s):  
Serkan Subaşı ◽  
Ahmet Beycioğlu ◽  
Emre Sancak ◽  
İbrahim Şahin
Keyword(s):  
Compressive Strength ◽  
Fuzzy Logic ◽  
Silica Fume ◽  
Logic Model ◽  
Test Results ◽  
Rule Based ◽  
Destructive Test ◽  
Fuzzy Logic Model ◽  
Non Destructive

scholarly journals Fuzzy logic model for the prediction of cement compressive strength

2004 ◽  
Vol 34 (8) ◽  
pp. 1429-1433 ◽  
Author(s):  
Sedat Akkurt ◽  
Gokmen Tayfur ◽  
Sever Can
Keyword(s):  
Compressive Strength ◽  
Fuzzy Logic ◽  
Logic Model ◽  
Fuzzy Logic Model

Estimation of concrete compressive strength by a fuzzy logic model

2012 ◽  
Vol 39 (2) ◽  
pp. 707-719 ◽  
Author(s):  
Bahador Abolpour ◽  
Benafsheh Abolpour ◽  
Roozbeh Abolpour ◽  
Hossein Bakhshi
Keyword(s):  
Compressive Strength ◽  
Fuzzy Logic ◽  
Logic Model ◽  
Concrete Compressive Strength ◽  
Fuzzy Logic Model

A Fuzzy Logic Model to Predict Coral Reef Development under Nutrient and Sediment Stress

1998 ◽  
Vol 12 (5) ◽  
pp. 957-965 ◽  
Author(s):  
Erik H. Meesters ◽  
Rolf P. M. Bak ◽  
Susie Westmacott ◽  
Mark Ridgley ◽  
Steve Dollar
Keyword(s):  
Fuzzy Logic ◽  
Coral Reef ◽  
Logic Model ◽  
Reef Development ◽  
Fuzzy Logic Model

scholarly journals A Fuzzy Logic Model for Hourly Electrical Power Demand Modeling

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 448
Author(s):  
Marco Antonio Islas ◽  
José de Jesús Rubio ◽  
Samantha Muñiz ◽  
Genaro Ochoa ◽  
Jaime Pacheco ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
New England ◽  
Electrical Power ◽  
Logic Model ◽  
Power Demand ◽  
Demand Modeling ◽  
Mapping Model ◽  
Fuzzy Logic Model ◽  
Radial Basis

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.

Proposal and Optimization of a Fuzzy Logic Model for Automobile Injection Diagnosis Using Evolutionary Algorithms

2013 ◽  
Author(s):  
Cesar Leonardo Gonzalez Pinzon ◽  
Helbert Eduardo Espitia Cuchango ◽  
Carlos Ponce Corral ◽  
Jaime Romero Gonzalez
Keyword(s):  
Fuzzy Logic ◽  
Evolutionary Algorithms ◽  
Logic Model ◽  
Fuzzy Logic Model
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