Identifying conflict patterns to reach a consensus -- a novel group decision approach

DOI10.1016/j.ejor.2016.04.004zbMath1346.91040OpenAlexW2340402310MaRDI QIDQ323384

Yu-Chia Chiang, Yen-Liang Chen, Li-Chen Cheng

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.04.004

zbMATH Keywords

data miningdecision-makinggroup decision-makingconflict patternsmaximum consensus sequence

Mathematics Subject Classification ID

Decision theory (91B06)

Related Items (3)

A novel similarity-based consensus model for probabilistic linguistic sets and its application in multi-attribute large-scale group decision making ⋮ Large-scale group decision making model based on social network analysis: trust relationship-based conflict detection and elimination ⋮ Modeling the minimum cost consensus problem in an asymmetric costs context

Uses Software

• VisualUTA

Cites Work

• A concise consensus support model for group decision making with reciprocal preference relations based on deviation measures
• The appropriate total ranking method using DEA for multiple categorized purposes
• Creating a consensus ranking of proposals from reviewers' partial ordinal rankings
• Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
• Mining maximum consensus sequences from group ranking data
• Visualizing preferences on spheres for group decisions based on multiplicative preference relations
• A general framework for distance-based consensus in ordinal ranking models
• Aggregation of utility-based individual preferences for group decision-making
• Introduction to Information Retrieval

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