Titlebook: Intelligence Systems in Environmental Management: Theory and Applications; Cengiz Kahraman,İrem Uçal‘ Sari Book 2017 Springer Internationa

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Decision Making in Solid Waste Management Under Fuzzy Environmentvironment and the study was conducted in Istanbul, the most populated city of Turkey. The results indicate that a tremendous amount of reduction in pollution is possible at a very reasonable cost. The proposed model is generated such that it can be generalized and applied to any municipal solid wast

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Maritime Environmental Disaster Management Using Intelligent Techniques proposed. The proposed system, called as Maritime Intelligent Environmental Disaster Management (MIEDM), is aimed at strengthening operating mechanism along with the mitigation, preparedness, response, and recovery phases to eliminate the potential impacts of maritime environmental disasters.

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Water Resources Management Decision-Making Under Stochastic Uncertainty Using a Firefly Algorithm-Drain considerable elements of stochastic uncertainty. This chapter provides a firefly algorithm-driven simulation-optimization approach for MGA that can be used to efficiently create multiple solution alternatives to problems containing significant stochastic uncertainties that satisfy required syste

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Fuzzy Neural Network (EFuNN) for Modelling Dissolved Oxygen Concentration (DO)d for the EFuNN and MLR models are water pH, temperature (TE), specific conductance (SC), and sensor depth (SD). In both models, 60 % of the data set was randomly assigned to the training set, 20 % to the validation set, and 20 % to the test set. The performances of the models are evaluated using ro

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Book 2017rers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new direction

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