Now showing items 1-10 of 26
A Hybrid Approach to Sentiment Analysis
This contribution presents a hybrid approach to Sentiment Analysis (SA) encompassing the use of semantic rules, fuzzy sets, unsupervised machine learning techniques and a sentiment lexicon improved with the support of ...
A Hybrid Approach for Supporting Adaptivity in E-learning Environments
(Emerald Group Publishing Limited, 2016-09-07)
Purpose: The purpose of this paper is to identify a framework to support adaptivity in e-learning environments. The framework reflects a novel hybrid approach incorporating the concept of the ECA model and intelligent ...
A new consensus measure based on Pearson correlation coefficient
(Proceedings of conference, 2016)
Obtaining consensual solutions is an important issue in decision making processes. It depends on several factors such as experts’ opinions, principles, knowledge, experience, etc. In the literature we can find a considerable ...
(Springer International Publishing, 2016-12-07)
Join and Meet Operations for Interval-Valued Complex Fuzzy Logic
Interval-valued complex fuzzy logic is able to handle scenarios where both seasonality and uncertainty feature. The interval-valued complex fuzzy set is defined, and the interval valued complex fuzzy inferencing system ...
Group decision-making based on heterogeneous preference relations with self-confidence
Preference relations are very useful to express decision makers’ preferences over alternatives in the process of group decision-making. However, the multiple self-confidence levels are not considered in existing preference ...
Constrained Dynamic Rule Induction Learning
One of the known classification approaches in data mining is rule induction (RI). RI algorithms such as PRISM usually produce If-Then classifiers, which have a comparable predictive performance to other traditional ...
Average-case consistency measurement and analysis of interval-valued reciprocal preference relations
Measuring consistency of preferences is very important in decision-making. This paper addresses this key issue for interval-valued reciprocal preference relations. Existing studies implement one of two di erent measures: ...
Development of a Genetic Programming-based GA Methodology for the Prediction of Short-to-Medium-term Stock Markets
This research presents a specialised extension to the genetic algorithms (GA) known as the genetic programming (GP) and gene expression programming (GEP) to explore and investigate the outcome of the GEP criteria on the ...
Uninorm trust propagation and aggregation methods for group decision making in social network with four tuples information
A novel social network based group decision making (SN-GDM) model with experts' weights not provided beforehand and with the following four tuple information: trust; distrust; hesitancy; and inconsistency, is introduced. ...