Ontologies for Decision Support System: The Study of Focus and Techniques

2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2018-07-01 DOI:10.1109/ICITEED.2018.8534947

I. A. Wulandari, D. I. Sensuse, Adila Alfa Krisnadhi, I. F. Akmaliah, Puji Rahayu

{"title":"Ontologies for Decision Support System: The Study of Focus and Techniques","authors":"I. A. Wulandari, D. I. Sensuse, Adila Alfa Krisnadhi, I. F. Akmaliah, Puji Rahayu","doi":"10.1109/ICITEED.2018.8534947","DOIUrl":null,"url":null,"abstract":"Decision Support System (DSS) is a support tool in helping users to provide suggestions of decisions when the information is disorganized and has a complex problem. Eventually, the dynamics of data on certain domains is unclear, semantic interoperability and heterogeneous data sources. To address solve the problem, the ontology can be applied to perform knowledge representation. The aim of this paper is to discuss the role of ontology in developing DSS as a supporter of multi-criteria decision-making. This study used Kitchenham’s methodology to assist in literature review. There are five journals electronic databases selected as references, such as, Science Direct, IEEE, Google Scholar, JSTOR, and Springer Link This study obtained 21 final articles that were synthesized to answer research questions. The ontology-based DSS delivers a deeper analysis of the decision situation and suggests a new methodology which can affords accurate results of calculation. Though most of the studies present that the ontology is not integrated with DSS techniques.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2018.8534947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

Abstract

Decision Support System (DSS) is a support tool in helping users to provide suggestions of decisions when the information is disorganized and has a complex problem. Eventually, the dynamics of data on certain domains is unclear, semantic interoperability and heterogeneous data sources. To address solve the problem, the ontology can be applied to perform knowledge representation. The aim of this paper is to discuss the role of ontology in developing DSS as a supporter of multi-criteria decision-making. This study used Kitchenham’s methodology to assist in literature review. There are five journals electronic databases selected as references, such as, Science Direct, IEEE, Google Scholar, JSTOR, and Springer Link This study obtained 21 final articles that were synthesized to answer research questions. The ontology-based DSS delivers a deeper analysis of the decision situation and suggests a new methodology which can affords accurate results of calculation. Though most of the studies present that the ontology is not integrated with DSS techniques.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

决策支持系统的本体:焦点与技术的研究

决策支持系统(Decision Support System, DSS)是一种帮助用户在信息混乱和问题复杂时提供决策建议的辅助工具。最终，数据在某些领域的动态是不清楚的，语义互操作性和异构数据源。为了解决这个问题，可以应用本体来进行知识表示。本文的目的是讨论本体作为多准则决策的支持者在发展决策支持系统中的作用。本研究采用Kitchenham的方法辅助文献综述。本文选取Science Direct、IEEE、Google Scholar、JSTOR、Springer Link等5个期刊电子数据库作为参考文献。本研究最终获得21篇论文，对研究问题进行了综合解答。基于本体论的决策支持系统对决策情况进行了更深入的分析，提出了一种能够提供准确计算结果的新方法。尽管大多数研究表明本体并没有与决策支持系统技术相结合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)

自引率

0.00%

发文量