Presence of As in the fluvial network due to AMD processes in the Riotinto mining area (SW Spain): A fuzzy logic qualitative model

2010 ◽  
Vol 176 (1-3) ◽  
pp. 395-401 ◽  
Author(s):  
Jose Antonio Grande ◽  
José Manuel Andujar ◽  
Javier Aroba ◽  
María Luisa de la Torre
Keyword(s):  
Fuzzy Logic ◽  
Mining Area ◽  
Qualitative Model ◽  
Sw Spain ◽  
Fluvial Network

scholarly journals Fuzzy-logic assessment of failure hazard in pipelines due to mining activity

2015 ◽  
Vol 372 ◽  
pp. 105-109 ◽  
Author(s):  
A. A. Malinowska ◽  
R. Hejmanowski
Keyword(s):  
Information System ◽  
Fuzzy Logic ◽  
Critical Analysis ◽  
Fuzzy Model ◽  
Mining Area ◽  
Mining Activity ◽  
Scaled Model ◽  
Mining Areas ◽  
Linear Object ◽  
Water Pipeline

Abstract. The present research is aimed at a critical analysis of a method presently used for evaluating failure hazard in linear objects in mining areas. A fuzzy model of failure hazard of a linear object was created on the basis of the experience gathered so far. The rules of Mamdani fuzzy model have been used in the analyses. Finally the scaled model was integrated with a Geographic Information System (GIS), which was used to evaluate failure hazard in a water pipeline in a mining area.

Mercury in soils and plants in an abandoned cinnabar mining area (SW Spain)

2009 ◽  
Vol 168 (2-3) ◽  
pp. 1319-1324 ◽  
Author(s):  
A. García-Sánchez ◽  
A. Murciego ◽  
E. Álvarez-Ayuso ◽  
I. Santa Regina ◽  
M.A. Rodríguez-González
Keyword(s):  
Mining Area ◽  
Sw Spain

Fuzzy Logic based Environmental Engineering System for Assessment of Mining Area Safety

2020 ◽  
Vol 51 (1) ◽  
pp. 01-02
Author(s):  
Luca Bürger
Keyword(s):  
Fuzzy Logic ◽  
Evaluation Model ◽  
Mining Area ◽  
Environmental Engineering ◽  
Security Evaluation ◽  
Ecological Framework ◽  
Engineering System ◽  
Natural Building ◽  
Control Hypothesis ◽  
Explicit Measures

Mining territory's natural building framework security evaluation is the thorough measure for the state and advancement patterns of mining zone's ecological framework, and it is the significant premise to take explicit measures to control the mining region's natural framework wellbeing. In this paper, under the direction of the weight - state - reaction, the mining territory's ecological framework wellbeing appraisal record model was developed, and utilizing the fluffy control hypothesis, a thorough evaluation model was built dependent on fluffy rationale, and the model have been confirmed by a coal mining zone.

Application of fuzzy logic tools for the biogeochemical characterisation of (un)contaminated waters from Aljustrel mining area (South Portugal)

Chemosphere ◽  
2018 ◽  
Vol 211 ◽  
pp. 736-744 ◽  
Author(s):  
A.T. Luís ◽  
J.A. Grande ◽  
J.M. Davila ◽  
J. Aroba ◽  
N. Durães ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Mining Area ◽  
South Portugal ◽  
Contaminated Waters

scholarly journals PENGAMBILAN KEPUTUSAN UNTUK KUALITAS AIR PADA TAMBAK UDANG MENGGUNAKAN FUZZY LOGIC CONTROL

2019 ◽  
Vol 20 (3) ◽  
pp. 85
Author(s):  
Indra Dwisaputra ◽  
Boy Rolastin ◽  
Irwan Irwan ◽  
Angga Sateria
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Mining Area ◽  
Crop Failure ◽  
Shrimp Culture ◽  
Shrimp Ponds ◽  
Logic Control ◽  
Input Variables

Indra Dwisaputra, Boy Rolastin, Irwan, Angga Satera, in this paper explain that one commodity that can be used as a superior post-mining area such as Bangka Belitung is shrimp ponds. Touch of technology is needed because of high rainfall in this area so that changes in temperature, humidity, salinity and pH are more dynamic. Then we need a control to determine the water quality in shrimp ponds to avoid crop failure. This research was conducted by means of simulations to make it easier to analyze the results before applying. Fuzzy logic control (FLC) method is used for the water quality decision making system. By utilizing 3 input variables such as temperature, salinity and pH of water and output is an index of water quality from a scale of 0-100. The Mamdani method is applied to FLC with 27 fuzzy rules. The simulation results show that a change in one of the input variables can cause water quality to drop to 70. When there are changes in the two input variables, it can reduce water quality by 25.1. FLC can work well in decision making for water quality in shrimp culture.

Hysteresis in Categorization: Fuzzy Logic Makes Fuzzy Boundaries

2012 ◽  
Author(s):  
Thomas M. Crawford ◽  
Justin Fine ◽  
Donald Homa
Keyword(s):  
Fuzzy Logic

Continuous Estimation of CO2 Production during Exercise

1997 ◽  
Vol 36 (04/05) ◽  
pp. 368-371
Author(s):  
R. Soma ◽  
Y. Yamamoto
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Infusion Rate ◽  
Feedback System ◽  
Whole Body ◽  
Co2 Production ◽  
Cycle Exercise ◽  
Continuous Estimation ◽  
Breath Measurement ◽  
13Co2 Enrichment

Abstract.A new method was developed for continuous isotopic estimation of human whole body CO2 rate of appearance (Ra) during non-steady state exercise. The technique consisted of a breath-by-breath measurement of 13CO2 enrichment (E) and a real-time fuzzy logic feedback system which controlled NaH13CO3 infusion rate to achieve an isotopic steady state. Ra was estimated from the isotope infusion rate and body 13CO2 enrichment which was equal to E at the isotopic steady state. During a non-steady state incremental cycle exercise (5 w/min or 10 w/min), NaH13CO3 infusion rate was successfully increased by the action of feedback controller so as to keep E constant.

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