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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 ...
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, ...
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 ...
A Granular Computing Based Approach for Improving the Consistency of Intuitionistic Reciprocal Preference Relations
(Studies in Fuzziness and Soft Computing, 2021)
Pairwise comparison between alternatives is the preference elicitation method most used in decision making. To model it, a mathematical model based on the concept of preference relation has been proposed. When preference ...
A group decision making support system for the Web: How to work in environments with a high number of participants and alternatives
(Applied Soft Computing, 2018-07)
One of the main challenges that the appearance of Web 2.0 and the overall spreading of the Internet have generated is how to tackle with the high number of users and information available. This problem is also inherited ...
An Adaptive Feedback Mechanism for Consensus Reaching Processes Based on Individuals’ Credibility
(Proceedings of the 52ND annual Hawait international conference on system sciences, 2019)
In group decision making, the decision made should be the one of highest consensus. Numerous consensus reaching processes have been developed as a part of the decision process. Within a consensus reaching process, a notable ...