Investigating biophysical constraints and determining potential cultivation of Tecomella undulata using fuzzy logic model: a case study arid regions of Iran

2021 ◽  
Vol 14 (21) ◽  
Author(s):  
Iraj Amiri ◽  
Hamid Sodaeizadeh ◽  
Asghar Mosleh Arany ◽  
Mohammad Ali Hakimzadeh Ardakani ◽  
Hassan Fathizad
Keyword(s):  
Fuzzy Logic ◽  
Arid Regions ◽  
Logic Model ◽  
Fuzzy Logic Model ◽  
Tecomella Undulata

scholarly journals Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233280 ◽  
Author(s):  
Anurag Malik ◽  
Anil Kumar ◽  
Sinan Q. Salih ◽  
Sungwon Kim ◽  
Nam Won Kim ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Drought Index ◽  
Logic Model ◽  
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.

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
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