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Dealing with group decision-making environments that have a high amount of alternatives using card-sorting techniques
(Expert Systems with Applications, 2019-08-01)
Due to the appearance of Web 2.0 technologies and smartphones, the amount of information available to carry out group decision-making processes has increased dramatically. Therefore, there is a need for group decision-making ...
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 ...
Granulating linguistic information in decision making under consensus and consistency
(Expert Systems with Applications, 2018-07-01)
This study is concerned with group decision making contexts in which linguistic preference relations are used to provide the evaluations of results. On the one hand, granulation of linguistic terms, which are used as entries ...
Analysing discussions in social networks using group decision making methods and sentiment analysis
(Information Sciences, 2018-06)
Social networks are one of the most preferred environments for people to carry out debates. Since a large amount of people can participate in the process, there is a need for tools that can analyse these discussions and ...
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 ...
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 ...
An automatic procedure to create fuzzy ontologies from users’ opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods
(Information Sciences, 2019-02)
The high amount of information that users continually provides to the Internet is unorganized and difficult to interpret. Unluckily, there is no point in having high amounts of information that we cannot work with. Therefore, ...
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 ...