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Identifying Citation Classics in Fuzzy Decision Making Field Using the Concept of H-Classics
(2014)
Citation classics identify those highly cited papers which are an important reference point in a research field. Identifying citation classics in a research field is one of the main approaches used to conduct a systematic ...
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 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 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 ...
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 ...
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 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 ...
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 ...
Using clustering methods to deal with high number of alternatives on Group Decision Making
(7th International Conference on Information Technology and Quantitative Management (ITQM), 2019)
Novel Group Decision Making methods and Web 2.0 have augmented the quantity of data that experts have to discuss about. Nevertheless, experts are only capable of dealing with a reduced set of information. In this paper, a ...
