2013
DOI: 10.1007/s00500-012-0975-5
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A new consensus model for group decision making using fuzzy ontology

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Cited by 51 publications
(25 citation statements)
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“…In addition, more complex approaches based on ontologies [21] and trust networks [25] will be included.…”
Section: Discussionmentioning
confidence: 99%
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“…In addition, more complex approaches based on ontologies [21] and trust networks [25] will be included.…”
Section: Discussionmentioning
confidence: 99%
“…Also Perez-Galvez et al in [20] present a decision approach designed for dynamic mobile systems whose main novelty was its capability to include or remove new alternatives during the decision process. These authors also proposed in [21], a web based consensus approach aimed to deal with a large set of alternatives by defining a fuzzy ontology which selects an smaller sub-set of the most likely ones. On the other hand Palomares et al in [19] proposed a Matlab graphical monitoring tool based on Self-Organizing Maps (SOMs).…”
Section: Introductionmentioning
confidence: 99%
“…In this new scenario, it is needed automatic software tools not only to combine the information in the best possible way but also to better analyze the whole context, providing a rapid and complete understanding about the current state of the decision process. Some initial works have been proposed [3,44,45,47], but they present some weak points: (i) they are developed as closed systems and, hence, they are not aimed to be upgraded or extended by other researchers since in most of the cases they do not provide the source code or they are based in proprietary software, (ii) they are extremely dependent of the user interface and, therefore, they cannot be adapted to work in other environments such as smart phones, (iii) not all of them make available graphical visualizations or output measures displaying the evolution of the process, and (iv) they do not offer the possibility of creating a data set to test and compare the performance of different approaches.…”
Section: Consensus and Softwarementioning
confidence: 99%
“…In [22], Fuzzy Ontologies are used to create an intelligent system that help to determine the level of severity and treatment recommendation for Benign Prostatic Hyperplasia disease. Not surprisingly, Fuzzy Ontologies have been recently used in the field of group decision making [23].…”
Section: B Fuzzy Ontologiesmentioning
confidence: 99%