Consensus-based clustering under hesitant qualitative assessments

DOI10.1016/j.fss.2014.05.004zbMath1381.62169OpenAlexW2003884557MaRDI QIDQ1697350

José Luis García-Lapresta, David Pérez-Román

Publication date: 19 February 2018

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: http://uvadoc.uva.es/handle/10324/21576

zbMATH Keywords

clusteringconsensuslinguistic assessments

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Agent technology and artificial intelligence (68T42)

Related Items (10)

Green supplier selection model with hesitant fuzzy information ⋮ Models for evaluating the technological innovation capability of small and micro enterprises with hesitant fuzzy information ⋮ Similarity and entropy measures for hesitant fuzzy sets ⋮ Metrizable ordinal proximity measures and their aggregation ⋮ Two MAGDM models based on hesitant fuzzy linguistic term sets with possibility distributions: VIKOR and TOPSIS ⋮ A consensus reaching process with quantum subjective adjustment in linguistic group decision making ⋮ A consensus reaching process in the context of non-uniform ordered qualitative scales ⋮ Consensus-Based Agglomerative Hierarchical Clustering ⋮ Double-quantified linguistic variable ⋮ Models for real estate investment decision-making with hesitant fuzzy information

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Allowing agents to be imprecise: a proposal using multiple linguistic terms
• Computing with words. Principal concepts and ideas.
• Consensus reaching in committees
• Measuring consensus in group decisions by means of qualitative reasoning
• Group decision making and consensus under fuzzy preferences and fuzzy majority
• Absorbent tuples of aggregation operators
• Measuring the cohesiveness of preferences: an axiomatic analysis
• Introduction to Information Retrieval
• Hesitant fuzzy sets
• Aggregating Imprecise Linguistic Expressions
• A theory of measuring, electing, and ranking

This page was built for publication: Consensus-based clustering under hesitant qualitative assessments