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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 ...
Analyzing the Scientific Evolution of Social Work Using Science Mapping
(Research on Social Work Practice, 2015-03)
Objectives: This article reports the first science mapping analysis of the social work field, which shows its conceptual structure
and scientific evolution. Methods: Science Mapping Analysis Software Tool, a bibliometric ...
Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy
(IEEE Transactions on Fuzzy Systems, 2017-10)
Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...
Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods
(Knowledge-Based Systems, 2017-12)
Classic multi-criteria group decision making models that have a high amount of alternatives are unmanageable for the experts. This is because they have to provide one value per each alternative and criteria. In this paper, ...
Characterizing highly cited papers in Social Work through H-Classics
(Scientometrics, 2015-02)
Highly cited papers are an important reference point in a research field. H-Classics is a new identification method of highly cited papers that is based on the H-index and is sensitive to the own characteristics of any ...
H-Classics: characterizing the concept of citation classics through H-index
(Scientometrics, 2014-03)
Citation classics identify those highly cited papers which are an important reference point in a research field. To identify a paper as a citation classic we have to fix a citation threshold value. Usually, this threshold ...
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 ...
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 ...