Filling fuzzy ontologies with people knowledge using fuzzy ontologies and group decision making methods

被引：0

作者：

Antonio Morente-Molinera, Juan ^{[1
]}

Javier Perez, Ignacio ^{[2
]}

Javier Cabrerizo, Francisco ^{[3
]}

Alonso, Sergio ^{[4
]}

Herrera-Viedma, Enrique ^{[1
]}

机构：

[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain

[2] Univ Cadiz, Dept Informat Sci, Cadiz, Spain

[3] Natl Distance Educ Univ UNED, Dept Software Engn & Comp Syst, Madrid, Spain

[4] Univ Granada, Dept Languages & Comp Syst, Granada, Spain

来源：

2016 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2016年

关键词：

AGGREGATION OPERATORS; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Internet has experienced a deep change. Now, people can communicate among themselves and share information and experiences thanks to Web 2.0 technologies. One way of storing all these information in a sorted way implies the use of Fuzzy Ontologies. In this paper, a novel and automatic method that is capable of retrieving and storing information coming from Internet users has been designed. Thanks to our method, it is possible to create knowledge databases that store knowledge coming from the consensus of a set of users. Thanks to group decision making methods, it is possible for all these users to debate and reach an agreement. Fuzzy Ontologies provide us with a trustful environment that we can use to store all the retrieved information. They also allow other users to consult and get advantage of the stored knowledge. Multi-granular fuzzy linguistic modelling methods are used in order to create an user-friendly interface for the users to debate and perform queries.

引用

页码：12 / 17

页数：6

共 27 条

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