用于评估利用城市多学科数据的智能能源系统的信息管理软件

IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications Pub Date : 2014-07-07 DOI:10.1109/IISA.2014.6878751

Ilias Papastamatiou, H. Doukas, J. Psarras

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引用次数: 7

摘要

如今，决策支持系统(DSS)分析人员越来越频繁地使用非齐次变量来解决决策问题。与能源政策相关的地方规划尤其如此。通过收集和分析多学科数据集，城市当局了解如何最佳地利用能源确实至关重要。在此框架下，针对智慧城市决策支持系统的需求，本文提出了OMIMS(在线多学科信息管理软件)，这是一种跨平台的基于网络的软件工具，能够评估智慧城市环境中的非同质变量。OMIMS基于F. Herrera的二元表示模型，并通过多种可视化和协作工具进行了增强。与OMIMS一起，我们提供了一个试点评估，以展示其富有成效的决策分析的潜力。

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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An Information Management Software for assessing smart energy systems exploiting cities' multidisciplinary data

Nowadays, decision support system (DSS) analysts use in an increasingly frequent basis, non-homogeneous variables for solving decision making problems. This is particularly true for energy policy related local planning. It is indeed crucial for the city authorities to know how optimal their use of energy is, by collecting and analyzing multidisciplinary data sets. In this framework and for the needs of a DSS concerning smart cities, this paper presents OMIMS (Online Multidisciplinary Information Management Software), a cross-platform web based software tool, able to assess non-homogeneous variables in a smart city environment. OMIMS is based on the 2-tuple representation model of F. Herrera, enhanced with multiple visual and collaborative tools. Along with OMIMS, we provide a Pilot Appraisal in order to present its potentials for fruitful decision analysis.

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IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications

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