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EN
The mining industry is showing increasing interest in using renewable energy (RE) technologies as one of the principles of sustainable mining. This is witnessed in several pilot projects in major mining countries around the world. Positive factors which favor this interest are gaining importance and negative barrier factors seem to be less relevant. For a mine operator, the switch from fossil fuel to RE technologies is the outcome of decision making processes. So far, research about such decision making on the use of RE in mining is underdeveloped. The purpose of this paper to present a practical decision rule based on a principle of indifference between RE and fossil fuel technologies and on appropriate time management. To achieve this objective, three investigations are made: (i) a case studies analysis, (ii) a comparative cost analysis, and (iii) a SWOT analysis.
2
Content available remote Zastosowanie teorii zbiorów przybliżonych do tworzenia biznesowych baz wiedzy
EN
The subject of present paper is to discuss the layout of conception referred to use of rough sets theory for creating business knowledge bases. As the basic terms (defined in the present paper) "lower and upper approximation of set" are considered. The first plane of research process was referred to application of rough sets theory for qualitative analysis of problems connected with non-typical business situations analyzed in such cases e. g. promotion or advertising campaign. The second one was related to propose of algorithm for discovering decision rules. The results of experiments have confirmed the thesis assumed by the author that there exists possibility and purpose for application rough sets theory for creating business knowledge bases, may be employed in forecasting process. More information about problems referred to integration (in sales forecasting system) of qualitative and quantitative sub-system are presented in the other publications by author of the present paper.
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