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A linguistic mobile Decision Support System based on fuzzy ontology to facilitate knowledge mobilization
The current development of the Semantic Web has created an increasing demand for methods and systems that can make use of imprecise information. As the amounts of data collected constantly grows, it will not be feasible to overlook imprecise data. We show that a combination of mobile technology and...
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Published in: | Decision Support Systems 2016-01, Vol.81, p.66-75 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The current development of the Semantic Web has created an increasing demand for methods and systems that can make use of imprecise information. As the amounts of data collected constantly grows, it will not be feasible to overlook imprecise data. We show that a combination of mobile technology and fuzzy ontology with group decision making support methods will facilitate a mobilization of knowledge, offering users a possibility to get decision making support through their mobile devices regardless of the context and location. In this paper, as an illustration and verification, a web platform and an Android application have been developed to help users to choose a suitable wine for different types of dinners.
•Web and Android platform applications employing a Fuzzy Wine Ontology have been implemented for imprecise information.•We show that imprecise expert knowledge can be activated and managed using mobile devices.•Knowledge mobilization will make it possible for users to get decision support regardless of where they are.•We show how to use imprecise data with a combination of decision support algorithms and fuzzy ontology.•The adoption of mobile devices will change the way decisions are made in everyday life, in business and in daily routines. |
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ISSN: | 0167-9236 1873-5797 |
DOI: | 10.1016/j.dss.2015.09.001 |