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Radulovic, F. and García-Castro, Raúl and Gómez-Pérez, A. (2013). A Recommendation Framework Based on the Analytic Network Process and its Application in the Semantic Technology Domain. In: "CAEPIA 2013 : XV Conference of the Spanish Association for Artificial Intelligence", 17 - 20 Septiembre 2013, Madrid.
Title: | A Recommendation Framework Based on the Analytic Network Process and its Application in the Semantic Technology Domain |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | CAEPIA 2013 : XV Conference of the Spanish Association for Artificial Intelligence |
Event Dates: | 17 - 20 Septiembre 2013 |
Event Location: | Madrid |
Title of Book: | CAEPIA 2013 : XV Conference of the Spanish Association for Artificial Intelligence |
Date: | September 2013 |
Subjects: | |
Faculty: | Facultad de Informática (UPM) |
Department: | Inteligencia Artificial |
UPM's Research Group: | oeg |
Creative Commons Licenses: | None |
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When users face a certain problem needing a product, service, or action to solve it, selecting the best alternative among them can be a dicult task due to the uncertainty of their quality. This is especially the case in the domains where users do not have an expertise, like for example in Software Engineering. Multiple criteria decision making (MCDM) methods are methods that help making better decisions when facing the complex problem of selecting the best solution among a group of alternatives that can be compared according to different conflicting criteria. In MCDM problems, alternatives represent concrete products, services or actions that will help in achieving a goal, while criteria represent the characteristics of these alternatives that are important for making a decision.
Item ID: | 20660 |
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DC Identifier: | https://oa.upm.es/20660/ |
OAI Identifier: | oai:oa.upm.es:20660 |
Deposited by: | Dr Oscar Corcho |
Deposited on: | 26 Sep 2013 10:55 |
Last Modified: | 21 Apr 2016 23:28 |