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Generating Recommendations in GDM with an Allocation of Information Granularity
(Aggregation Functions in Theory and in Practice, 2018)
A Group decision making process is carried out when human beings jointly make an election from a possible collection of alternatives. Here, a question of importance is to avoid winners and losers, in the sense that the ...
Using multi-granular fuzzy linguistic modelling methods for supervised classification learning purposes
(2017 IEEE International conference on fuzzy systems (FUZZ-IEEE), 2017)
Classification learning is a very complex process whose success and failure ratio depends on a high amount of elements. One of them is the representation mean used for the data that is employed in the process. Granularity ...
Using Group Decision Making Methods to Extract Experts Knowledge
(Advances in fuzzy logic and technology, 2018)
Group Decision Making methods are interesting tools that can be used for extracting subjective information from experts that are familiar with an specific topic. Although they are typically used for carrying out an ...
Consensus in a fuzzy environment: a bibliometric study
(3RD International conference on information technology and quantitative management, ITQM 2015, 2015)
In today's organizations, group decision making has become a part of everyday organizational life. It involves multiple individuals interacting to reach a decision. An important question here is the level of agreement or ...
Improving queries and representing heterogeneous information in fuzzy ontologies using multi-granular fuzzy linguistic modelling methods
(2016 IEEE International conference on systems, man, and cybernetics (SMC), 2016)
The appearance of Fuzzy Ontologies has improved the way that crisp ontologies use to represent information. Thanks to them, it is possible to represent information in an imprecise and linguistic way using linguistic modelling ...
A Web Information System to Improve the Digital Library Service Quality
(Frontiers in Artificial Intelligence and Applications, 2015)
To asses the quality of the services provided by a digital library, traditional measures, such as the size of its collection, have usually been utilized. However, service quality also has to be evaluated by considering ...
Bibliometric Tools for Discovering Information in Database
(Trends in applied knowledge-based systems and data science, 2016)
In bibliometrics, there are two main procedures to explore a research field: performance analysis and science mapping. Performance analysis aims at evaluating groups of scientific actors (countries, universities, departments, ...
Improving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approach
(2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, 2018)
Intuitionistic reciprocal preference relations constitute a flexible and simple representation of decision makers' preference on a set of alternative options, while at the same time allow to accommodate degrees of hesitation ...
A Novel Android Application Design Based on Fuzzy Ontologies to Carry Out Local Based Group Decision Making Processes
(Modeling decisions for artificial intelligence, (MDAI 2016), 2016)
The appearance of Web 2.0 and mobile technologies, the increase of users participating on the Internet and the high amount of available information have created the necessity of designing tools capable of making the most ...
Managing multi-criteria group decision making environments with high number of alternatives using fuzzy ontologies
(Frontiers in Artificial Intelligence and Applications, 2018)
The high amount of information that modern multi-criteria group decision making environments must handle requires the development of novel methods. These methods should be able to work with high amounts of alternatives ...