INTERDISCIPLINARY RESEARCH ON RESOURCES MANAGEMENT BASED ON THE SUSTAINABLE PREDICTION METHOD

Ivan Stevović, Z. Kapelan, V. Obradović
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Abstract

The subject of this paper is interdisciplinary research on resource management based on a sustainable method for the prediction of the availability of resources. The method is developed and tested in the water resources case study because water is one of the most important substances on the planet. The motivation for this research lies in numerous conflicting interests regarding different resource usage. In the case of water use, conflicting interests are especially highlighted due to a deteriorated environment, deficiency of water, deficiency of data and deficiency of proper methodologies for sustainable solutions. Different researches are done using artificial intelligence applications to analyze various models of water management optimization in conditions of conflicting interests relating to water use. This research aims to interdisciplinary investigate water management methods from the aspect of sustainability, under the condition of incomplete and uncertain information. This paper analyses the model for predicting the availability of water resources from the aspect of different impacts.
基于可持续预测方法的资源管理跨学科研究
本文的主题是基于可持续的资源可用性预测方法的资源管理跨学科研究。该方法是在水资源案例研究中开发和测试的,因为水是地球上最重要的物质之一。本研究的动机在于不同资源使用的众多利益冲突。在用水方面,由于环境恶化、缺水、缺乏数据和缺乏可持续解决办法的适当方法,利益冲突特别突出。利用人工智能应用进行了不同的研究,以分析在与用水相关的利益冲突条件下的各种水管理优化模型。本研究的目的是在信息不完全和不确定的情况下,从可持续性的角度对水资源管理方法进行跨学科的研究。本文从不同影响因素的角度分析了水资源可利用性预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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