The Use of Fuzzy Estimators for the Construction of a Prediction Model Concerning an Environmental Ecosystem

Georgia Ellina, Garyfalos Papaschinopoulos and Basil Papadopoulos
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Georgia Ellina: Department of Civil Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
Garyfalos Papaschinopoulos: Department of Environmental Engineering, Democritus University of Thrace, 67100 Xanthi, Greece
Basil Papadopoulos: Department of Civil Engineering, Democritus University of Thrace, 67100 Xanthi, Greece

Sustainability, 2019, vol. 11, issue 18, 1-10

Abstract: As a variable system, the Lake of Kastoria is a good example regarding the pattern of the Mediterranean shallow lakes. The focus of this study is on the investigation of this lake’s eutrophication, analyzing the relation of the basic factors that affect this phenomenon using fuzzy logic. In the method we suggest, while there are many fuzzy implications that can be used since the proposition can take values in the close interval [0,1], we investigate the most appropriate implication for the studied water body. We propose a method evaluating fuzzy implications by constructing triangular non-asymptotic fuzzy numbers for each of the studied parameters coming from experimental data. This is achieved with the use of fuzzy estimators and fuzzy linear regression. In this way, we achieve a better understanding of the mechanisms and functions that regulate this ecosystem.

Keywords: implications; fuzzy estimators; lake eutrophication; prediction model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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