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An Experimental Case Study on Fuzzy Logic Modeling for Selection Classification of Private Mini Hydropower Plant Investments in the Very Early Investment Stages in Turkey
Proceedings of the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18) - Advances in Intelligent Systems and Computing
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10.1007/978-3-030-00612-9_7
◽
2018
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pp. 69-80
Author(s):
Burak Omer Saracoglu
Keyword(s):
Fuzzy Logic
◽
Hydropower Plant
◽
Logic Modeling
◽
Fuzzy Logic Modeling
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References
Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor
Computer Vision and Image Understanding
◽
10.1006/cviu.2000.0844
◽
2000
◽
Vol 79
(1)
◽
pp. 4-24
◽
Cited By ~ 16
Author(s):
M. Mignotte
◽
C. Collet
◽
P. Pérez
◽
P. Bouthemy
Keyword(s):
Fuzzy Logic
◽
Random Field
◽
Markov Random Field
◽
Logic Modeling
◽
Fuzzy Logic Modeling
◽
Markov Random
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Fuzzy logic modeling of causal relationships-case study: reasoning about construction performance
IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.
◽
10.1109/nafips.2004.1337370
◽
2004
◽
Cited By ~ 4
Author(s):
G.M. Dissanayake
◽
L. Chen
◽
W. Pedrycz
◽
A.R. Fayek
◽
A.D. Russell
Keyword(s):
Fuzzy Logic
◽
Causal Relationships
◽
Logic Modeling
◽
Fuzzy Logic Modeling
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Water erosion hazard mapping using analytic hierarchy process (AHP) and fuzzy logic modeling: a case study of the Chaffar Watershed (Southeastern Tunisia)
Arabian Journal of Geosciences
◽
10.1007/s12517-021-07602-5
◽
2021
◽
Vol 14
(13)
◽
Author(s):
Nouha Neji
◽
Rami Ben Ayed
◽
Habib Abida
Keyword(s):
Fuzzy Logic
◽
Analytic Hierarchy Process
◽
Water Erosion
◽
Hazard Mapping
◽
Analytic Hierarchy
◽
Logic Modeling
◽
Erosion Hazard
◽
Fuzzy Logic Modeling
◽
Hierarchy Process
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Fuzzy logic modeling for hydrothermal gold mineralization mapping using geochemical, geological, ASTER imageries and other geo-data, a case study in Central Alborz, Iran
Earth Science Informatics
◽
10.1007/s12145-014-0151-9
◽
2014
◽
Vol 8
(1)
◽
pp. 197-205
◽
Cited By ~ 14
Author(s):
Masoud Moradi
◽
Sedigheh Basiri
◽
Ali Kananian
◽
Keivan Kabiri
Keyword(s):
Fuzzy Logic
◽
Gold Mineralization
◽
Logic Modeling
◽
Fuzzy Logic Modeling
◽
Central Alborz
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FUZZY LOGIC MODELING FOR SUSTAINABLE URBAN DEVELOPMENT IN MAKKAH, SAUDI ARABIA
10.1130/abs/2019sc-326084
◽
2019
◽
Author(s):
Mislat Alotaibi
◽
◽
Mohamed H. Aly
◽
Hafid Nanis
Keyword(s):
Fuzzy Logic
◽
Saudi Arabia
◽
Urban Development
◽
Sustainable Urban Development
◽
Logic Modeling
◽
Fuzzy Logic Modeling
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Rapid visual earthquake hazard evaluation of existing buildings by fuzzy logic modeling
Expert Systems with Applications
◽
10.1016/j.eswa.2010.02.046
◽
2010
◽
Vol 37
(8)
◽
pp. 5653-5660
◽
Cited By ~ 37
Author(s):
Zekai Şen
Keyword(s):
Fuzzy Logic
◽
Earthquake Hazard
◽
Hazard Evaluation
◽
Existing Buildings
◽
Logic Modeling
◽
Fuzzy Logic Modeling
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Fuzzy logic modeling of wire-cut EDM process
10.1117/12.403674
◽
2000
◽
Cited By ~ 1
Author(s):
M. S. Shunmugam
◽
S. S. Kumar
◽
I. K. Kaul
Keyword(s):
Fuzzy Logic
◽
Logic Modeling
◽
Fuzzy Logic Modeling
◽
Edm Process
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Synthesis of hydrous iron oxide/aluminum hydroxide composite loaded on coal fly ash as an effective mesoporous and low-cost sorbent for Cr(VI) sorption: Fuzzy logic modeling
Process Safety and Environmental Protection
◽
10.1016/j.psep.2017.02.012
◽
2017
◽
Vol 107
◽
pp. 153-167
◽
Cited By ~ 14
Author(s):
Seyed Mostafa Hosseini Asl
◽
Mojtaba Masomi
◽
Morteza Hosseini
◽
Hamedreza Javadian
◽
Montserrat Ruiz
◽
...
Keyword(s):
Fuzzy Logic
◽
Iron Oxide
◽
Fly Ash
◽
Aluminum Hydroxide
◽
Low Cost
◽
Coal Fly Ash
◽
Logic Modeling
◽
Fuzzy Logic Modeling
◽
Hydrous Iron Oxide
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A Fuzzy Logic Modeling Approach to Assess the Speed Limit Suitability in Urban Street Networks
Communications in Computer and Information Science - Agents and Artificial Intelligence
◽
10.1007/978-3-642-36907-0_4
◽
2013
◽
pp. 54-68
Author(s):
Yaser E. Hawas
◽
Md. Bayzid Khan
Keyword(s):
Fuzzy Logic
◽
Speed Limit
◽
Logic Modeling
◽
Urban Street
◽
Street Networks
◽
Fuzzy Logic Modeling
◽
Modeling Approach
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Fuzzy Logic Modeling of Explanatory Variables of Catalytic Convertor of an Automobile for Prediction of CO2 Emission
Lecture Notes in Mechanical Engineering - Advances in Interdisciplinary Engineering
◽
10.1007/978-981-13-6577-5_11
◽
2019
◽
pp. 97-105
Author(s):
Rajesh P. Verma
◽
Ayush Kumar
◽
P. K. Chauhan
◽
Ankit Dimri
Keyword(s):
Fuzzy Logic
◽
Co2 Emission
◽
Logic Modeling
◽
Explanatory Variables
◽
Fuzzy Logic Modeling
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