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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidad Nacional Autónoma de México
2013
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=47426212015 |
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| _version_ | 1866812452866359296 |
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| author | Vahid Rafe |
| author_facet | Vahid Rafe |
| contents | A Novel Web-based Human Advisor Fuzzy Expert System Vahid Rafe Mahdi Hassani Goodarzi Ingeniería web application total average Fuzzy expert systems common human advisor The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES) have created new methods for sharing and distributing knowledge. However, there has been a general lack of investigation in the area of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and use of web-based applications from a standpoint of the benefits and challenges of development and utilization areinvestigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineering framework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise is a must. In addition, some of advisory rules are subject to change because of domain knowledge update. The human requests may have linguistic or crisp forms and a conventional expert system (ES) is not able to overcome the fuzziness in the problem nature. In this research, a Web-based fuzzy expert system for Common Human Advisor (FES-CHA) is developed and implemented to be used as a student advisor at the department's web portal. The system is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47426212015 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.1 Vol.11 |
| format | Artículo científico |
| id | redalyc_47426212015 |
| language | en |
| publishDate | 2013 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | A Novel Web-based Human Advisor Fuzzy Expert System Vahid Rafe Ingeniería web application total average Fuzzy expert systems common human advisor A Novel Web-based Human Advisor Fuzzy Expert System Vahid Rafe Mahdi Hassani Goodarzi Ingeniería web application total average Fuzzy expert systems common human advisor The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES) have created new methods for sharing and distributing knowledge. However, there has been a general lack of investigation in the area of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and use of web-based applications from a standpoint of the benefits and challenges of development and utilization areinvestigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineering framework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise is a must. In addition, some of advisory rules are subject to change because of domain knowledge update. The human requests may have linguistic or crisp forms and a conventional expert system (ES) is not able to overcome the fuzziness in the problem nature. In this research, a Web-based fuzzy expert system for Common Human Advisor (FES-CHA) is developed and implemented to be used as a student advisor at the department's web portal. The system is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47426212015 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.1 Vol.11 |
| title | A Novel Web-based Human Advisor Fuzzy Expert System |
| topic | Ingeniería web application total average Fuzzy expert systems common human advisor |
| url | https://www.redalyc.org/articulo.oa?id=47426212015 |