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Environmental Earth Sciences

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01.07.2014 | Original Article

Application of fuzzy multi-attribute decision-making to select and to rank the post-mining land-use

verfasst von: Isa Masoumi, Saeed Naraghi, Farshad Rashidi-nejad, Shiba Masoumi

Erschienen in: Environmental Earth Sciences | Ausgabe 1/2014

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Abstract

The selection of an optimal reclamation method is one of the most important portions of the surface mining design. There are many factors in this problem which seriously influence decision-making. The fuzzy set theory was applied due to the effect of uncertain parameters involved in the decision-making process. Therefore, the fuzzy multi-attribute decision-making method was proposed. The aim of this study is to use the fuzzy technique for order preference by similarity to ideal solution method for ranking the optimal post-mining land-use and the fuzzy analytic hierarchy process method in order to determine the weights of each criterion. This approach is applied to the surface coal mine by employing 28 criteria which influence the decision-making procedure. The TOPSIS and AHP methods have been the most used methods of mining decision-making and demonstrated their ability to make critical decisions. By evaluating the alternatives and considering effective criteria with proposed methods, agriculture is the optimal post-mining land-use.

Vorheriger Artikel Biomarkers of selected heavy metal toxicity and histology of Chanos chanos from Kaattuppalli Island, Chennai, southeast coast of India

Nächster Artikel Changes in irrigation management and quantity and quality of drainage water in a traditional irrigated land

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Titel: Application of fuzzy multi-attribute decision-making to select and to rank the post-mining land-use
verfasst von: Isa Masoumi
Saeed Naraghi
Farshad Rashidi-nejad
Shiba Masoumi
Publikationsdatum: 01.07.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: Environmental Earth Sciences / Ausgabe 1/2014
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-013-2948-0

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