On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Aggregation operators: properties, classes and construction methods
Aggregation operators
IEEE Transactions on Knowledge and Data Engineering
A fuzzy clustering methodology for linguistic opinions in group decision making
Applied Soft Computing
Weighted aggregation operators based on minimization
Information Sciences: an International Journal
Distance Learning for Similarity Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Facet-based opinion retrieval from blogs
Information Processing and Management: an International Journal
On the use of the Choquet integral with fuzzy numbers in multiple criteria decision support
Fuzzy Sets and Systems
Modeling the concept of majority opinion in group decision making
Information Sciences: an International Journal
IEEE Intelligent Systems
OpinionSeer: Interactive Visualization of Hotel Customer Feedback
IEEE Transactions on Visualization and Computer Graphics
Unsupervised Semantic Similarity Computation between Terms Using Web Documents
IEEE Transactions on Knowledge and Data Engineering
A satisfactory-oriented approach to multiexpert decision-making with linguistic assessments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Appropriate choice of aggregation operators in fuzzy decision support systems
IEEE Transactions on Fuzzy Systems
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Measuring opinion similarity between participants is an important strategy to reduce the chance of making and applying inappropriate decisions in multi-criteria group decision making applications. Due to the small-sized opinion data and the varieties of opinion representations, measuring the similarity between opinions is difficult and has not been well-studied in developing decision support. Considering that the similarity changes with the number of concerned criteria, this paper develops a gradual aggregation algorithm and establishes a three-level-similarity measuring (TLSM) method based on it to measure the opinion similarity at the assessment level, the criterion level and the problem level. Two applications of the TLSM method on social policy selection and energy policy evaluation are conducted. The study indicates that the TLSM method can effectively measure the similarity between opinions in small-size with possibly missing values and simulate the dynamic generation of a decision.