Consensus-Based Group Decision Making Under Multi-granular Unbalanced 2-Tuple Linguistic Preference Relations

Dong, Yucheng; Li, Cong-Cong; Xu, Yinfeng; Gu, Xin

doi:10.1007/s10726-014-9387-5

Cited by 205 publications

(70 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chiclana et al [13] and Wu and Xu [42] designed a two stage model with a first stage aiming to reach acceptable consistency level while the second one was used to achieve a predefined consensus level. Different from the above consensus models, Dong et al [19] investigated a minimum cost optimization model to reach acceptable consensus in which the individual consistency and consensus level are used as two limiting conditions simultaneously. Obviously, using these two criteria simultaneously in consensus process seems to be more reliable than just one criteria.…”

mentioning

confidence: 99%

Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building

Chiclana

2014

Knowledge-Based Systems

152

121

View full text Add to dashboard Cite

mentioning

confidence: 99%

Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building

Chiclana

2014

Knowledge-Based Systems

152

121

View full text Add to dashboard Cite

“…This difference is mainly reflected from three aspects: the information represented by the linguistic terms, the granularity of the linguistic term set or both. Up to now, some researchers have already studied the second case, where different decision makers employ different linguistic term sets to express opinions (Zhang, 2012;Liu, Chan & Ran, 2013;Zhang, 2013;Dong, Li, Xu & Gu, 2015;Dong, Zhang & Herrera-Viedma, 2016;.…”

Section: Zhang Et Al / Teaching Quality Evaluation On Linguistic mentioning

confidence: 99%

A Heterogeneous Linguistic MAGDM Framework to Classroom Teaching Quality Evaluation

Zhang

Wang

Zhang

et al. 2017

EURASIA J MATH SCI T

View full text Add to dashboard Cite

Focusing on multi-attribute group decision making (MAGDM) regarding classroom teaching quality evaluation, this article aims to devise a novel evaluation framework based on heterogeneous linguistic information. In this framework, a four-level evaluation process of classroom teaching quality is established. Then, the weights of the sub-attributes are estimated objectively by integrating a newly proposed score function of interval linguistic 2-tuples and optimization models which consider the realistic situation that alternatives are not equally weighted. Subsequently, the exploitation process is implemented by two branches: taking the possibility measurement to rank teachers with respect to different attributes and extending the technique for order preference by similarity to ideal solution (TOPSIS) method to assess the overall performance of teachers. Finally, a simulated case is furnished to illustrate how to apply the presented framework to realistic classroom teaching quality evaluation problems. Hopefully, this work would be beneficial to the improvement of classroom teaching quality.

show abstract

“…As a result, the decision makers use different preference relations to express their individual preference information. Three kinds of preference relations have been widely investigated: multiplicative preference relations [5,26,33,41], additive preference relations [6,19,31,[34][35][36]41] and linguistic preference relations [8,9,11,16,20,28,37]. Chiclana et al [4,5], Dong et al [12,14], Herrera et al [26], and Herrera-Viedma et al [21] initiated and developed the GDM models with heterogeneous preference relations represented by preference orderings, utility functions, additive preference relations, multiplicative preference relations.…”

Section: Introductionmentioning

confidence: 99%

Group decision-making based on heterogeneous preference relations with self-confidence

Liu

Dong

Chiclana

et al. 2016

Fuzzy Optim Decis Making

Self Cite

169

View full text Add to dashboard Cite

Preference relations are very useful to express decision makers' preferences over alternatives in the process of group decision-making. However, the multiple self-confidence levels are not considered in existing preference relations. In this study, we define the preference relation with self-confidence by taking multiple self-confidence levels into consideration, and we call it the preference relation with self-confidence. Furthermore, we present a two-stage linear programming model for estimating the collective preference vector for the group decision-making based on heterogeneous preference relations with self-confidence. Finally, numerical examples are used to illustrate the two-stage linear programming model, and a comparative analysis is carried out to show how self-confidence levels influence on the group decision-making results.

show abstract

Consensus-Based Group Decision Making Under Multi-granular Unbalanced 2-Tuple Linguistic Preference Relations

Cited by 205 publications

References 57 publications

Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building

Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building

A Heterogeneous Linguistic MAGDM Framework to Classroom Teaching Quality Evaluation

Group decision-making based on heterogeneous preference relations with self-confidence

Contact Info

Product

Resources

About