An improved consensus-based group decision making model with heterogeneous information

摘要: In group decision making (GDM) problems, it is natural for makers (DMs) to provide different preferences and evaluations owing varying domain knowledge cultural values. When the number of DMs large, a higher degree heterogeneity expected, difficult translate heterogeneous information into one unified preference without loss context. this aspect, current GDM models face two main challenges, i.e., handling complexity pertaining unification from large DMs, providing optimal solutions based on methods. This paper presents new consensus-based model manage information. model, an aggregation individual priority (AIP)-based mechanism, which able employ flexible methods deriving each DM's avoid caused by unifying information, utilized aggregate preferences. To reach consensus more efficiently, revision schemes are employed reward/penalize cooperative/non-cooperative respectively. The temporary collective opinion used guide process derived aggregating only those non-conflicting opinions at round revision. order measure in robust manner, position-based dissimilarity developed. Compared with existing models, proposed effective processing It can be handle types degrees granularity. Six exemplified paper, ordinal, interval, fuzzy number, linguistic, intuitionistic set, real number. results indicate that overcome possible distortions large-scale problems.