A trust induced recommendation mechanism for reaching consensus in group decision making

Liu, Yujia; Liang, Changyong; Chiclana, Francisco; Wu, Jian

doi:10.1016/j.knosys.2016.12.014

Cited by 149 publications

(53 citation statements)

References 60 publications

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“…Uninorms, first introduced in, 15 have been widely used in aggregating variables for multi-criteria decision making, in modelling cardinal consistency of preferences, and in propagation of trust in social network. [16][17][18][19][20][21][22] In a study of customer satisfaction, Depaire et al 23 demonstrated that uninorms were superior to regression and correlated better with customer satisfaction theory. Similarly, uninorms have been shown to be effective in aggregating sentiments of experts in group decision making.…”

Section: Uninorms As Interestingness Measuresmentioning

confidence: 99%

Application of uninorms to market basket analysis

et al. 2018

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The ability for grocery retailers to have a single view of customers across all their grocery purchases remains elusive and has become increasingly important in recent years (especially in the United Kingdom) where competition has intensified, shopping habits and demographics have changed and price sensitivity has increased following the 2008 recession. Numerous studies have been conducted on understanding independent items that are frequently bought together (association rule mining/frequent itemsets) with several measures proposed to aggregate item support and rule confidence with varying levels of accuracy as these measures are highly context dependent. Uninorms were used as an alternative measure to aggregate support and confidence in analysing market basket data using the UK grocery retail sector as a case study. Experiments were conducted on consumer panel data with the aim of comparing the uninorm against three other popular measures (Jaccard, Cosine and Conviction). It was found that the uninorm outperformed other models on its adherence to the fundamental monotonicity property of support in market basket analysis (MBA). Future work will include the extension of this analysis to provide a generalised model for market basket analysis.

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Section: Uninorms As Interestingness Measuresmentioning

confidence: 99%

Application of uninorms to market basket analysis

et al. 2018

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“…Perez, Cabrerizo, Alonso, and Herrera-Viedma (2014) proposed a consensus model for heterogeneous GDM problems that were guided by the heterogeneity criterion. A trust induced recommendation mechanism for reaching consensus in GDM problems (Liu, Liang, Chiclana, & Wu, 2017) was introduced to generate personalized advice for low-consensus experts to reach a high-level consensus. Dong, Zhang, Hong, and Xu (2010) introduced a cardinal consensus by measuring the distance between individual preference values and collective preference values.…”

Section: Literature Review On the Approaches Of Consensus In Decisionmentioning

confidence: 99%

Hesitant Fuzzy Linguistic Dnma Method With Cardinal Consensus Reaching Process for Shopping Mall Location Selection

Nie

Liao

et al. 2019

International Journal of Strategic Property Management

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The hesitant fuzzy linguistic term set is an effective tool to express qualitative evaluations since it is close to human reasoning and expressing habits. In this paper, we propose a multi-expert multi-criterion decision-making method integrating the double normalization-based multi-aggregation (DNMA) method with a cardinal consensus reaching process, where the assessments of alternatives over multiple criteria are expressed as hesitant fuzzy linguistic term sets. To do so, the DNMA method involving double normalizations and three aggregation tools is extended to deal with the hesitant fuzzy linguistic information and derive the ranking of alternatives with respect to each expert. In addition, a cardinal consensus reaching process is introduced to help experts reach an acceptable consensus level. In other words, the soft consensus is considered in the multi-expert multi-criterion decision-making process. Subsequently, an extended Borda rule is developed to aggregate the subordinate ranks and integrated scores of alternatives, and then deduce the comprehensive ranking of alternatives. A case study is given to illustrate the practicability of the proposed method for selecting the optimal geographical location of a larger-scale shopping mall in the new urbanization for a construction investment agency. The proposed method is compared with other ranking methods to illustrate its advantages.

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“…The inconsistency problem in GDM caused by different evaluations of multiple users was addressed by Liu et al in [28]. In this contribution, the authors propose a trust induced recommendation mechanism generating personalized recommendations to the inconsistent users with the aim of achieving a high level of consensus.…”

Section: Consensus Approaches In Social Networkmentioning

confidence: 99%

Consensus in Group Decision Making and Social Networks

Herrera‐Viedma¹,

Cabrerizo²,

Chiclana³

et al. 2017

STUD INFORM CONTROL

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Abstract:The consensus reaching process is the most important step in a group decision making scenario. This step is most frequently identified as a process consisting of some discussion rounds in which several decision makers, which are involved in the problem, discuss their points of view with the purpose of obtaining the maximum agreement before making the decision. Consensus reaching processes have been well studied and a large number of consensus approaches have been developed. In recent years, the researchers in the field of decision making have shown their interest in social networks since they may be successfully used for modelling communication among decision makers. However, a social network presents some features differentiating it from the classical scenarios in which the consensus reaching processes have been applied. The objective of this study is to investigate the main consensus methods proposed in social networks and bring out the new challenges that should be faced in this research field.

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A trust induced recommendation mechanism for reaching consensus in group decision making

Cited by 149 publications

References 60 publications

Application of uninorms to market basket analysis

Application of uninorms to market basket analysis

Hesitant Fuzzy Linguistic Dnma Method With Cardinal Consensus Reaching Process for Shopping Mall Location Selection

Consensus in Group Decision Making and Social Networks

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