Multi-attribute group decision making methods with proportional 2-tuple linguistic assessments and weights

Li, Cong-Cong

doi:10.1080/18756891.2014.960232

Cited by 17 publications

(11 citation statements)

References 52 publications

(60 reference statements)

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“…Step 1: Gather the decision makers' assessments and represent the assessments from the decision makers who select the same linguistic term set using linguistic distribution assessments by (18) or (19). In this way, r decision matrices are derived by (20).…”

Section: ) Aggregating the Attribute Values And Ranking The Alternatmentioning

confidence: 99%

“…Recently, Dong et al [15] and Dong and Herrera-Viedma [16] explored the numerical scale model and developed some novel models to compute with words based on interval numerical scales. Despite a large amount of research conducted on GDM with linguistic information [15], [17]- [19], there are still some challenges that need to be tackled. One of them is how to deal with GDM problems with large groups under linguistic environment.…”

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confidence: 99%

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Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making

Zhang

Guo

Martínez

2017

IEEE Trans. Syst. Man Cybern, Syst.

314

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Linguistic large-scale group decision making (LGDM) problems are more and more common nowadays. In such problems a large group of decision makers are involved in the decision process and elicit linguistic information that are usually assessed in different linguistic scales with diverse granularity because of decision makers' distinct knowledge and background. To keep maximum information in initial stages of the linguistic LGDM problems, the use of multigranular linguistic distribution assessments seems a suitable choice, however, to manage such multigranular linguistic distribution assessments, it is necessary the development of a new linguistic computational approach. In this paper, it is proposed a novel computational model based on the use of extended linguistic hierarchies, which not only can be used to operate with multigranular linguistic distribution assessments but also can provide interpretable linguistic results to decision makers. Based on this new linguistic computational model, an approach to linguistic large-scale multiattribute group decision making is proposed and applied to a talent selection process in universities.Index Terms-Group decision making (GDM), large-scale GDM (LGDM), linguistic distribution assessment, multigranular linguistic information.

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Section: ) Aggregating the Attribute Values And Ranking The Alternatmentioning

confidence: 99%

mentioning

confidence: 99%

Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making

Zhang

Guo

Martínez

2017

IEEE Trans. Syst. Man Cybern, Syst.

314

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“…are preferred. Fuzzy linguistic approach 39 has obtained successful results dealing with linguistic information in decision making 18,23,27,38 . Many linguistic models have been presented to extend and improve the fuzzy linguistic approach in information modeling and computing processes 5,11,35 .…”

Section: Introductionmentioning

confidence: 99%

A Hesitant Fuzzy Linguistic TODIM Method Based on a Score Function

Wei¹,

Ren²,

Rodríguez³

2015

IJCIS

180

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Hesitant fuzzy linguistic term sets (HFLTSs) are very useful for dealing with the situations in which the decision makers hesitate among several linguistic terms to assess an alternative. Some multi-criteria decision-making (MCDM) methods have been developed to deal with HFLTSs. These methods are derived under the assumption that the decision maker is completely rational and do not consider the decision maker's psychological behavior. But some studies about behavioral experiments have shown that the decision maker is bounded rational in decision processes and the behavior of the decision maker plays an important role in decision analysis. In this paper, we extend the classical TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method to solve MCDM problems dealing with HFLTSs and considering the decision maker's psychological behavior. A novel score function to compare HFLTSs more effectively is defined. This function is also used in the proposed TODIM method. Finally, a decision-making problem that concerns the evaluation and ranking of several telecommunications service providers is used to illustrate the validity and applicability of the proposed method.

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“…It has long been recognized that fuzzy sets (FS) and fuzzy logic provide useful tools for the management of human subjectivity in decisionmaking contexts 12,21,18,37 . However in some practical problems, imprecise human knowledge (and especially group knowledge) cannot be suitably represented by fuzzy sets and some generalizations are needed.…”

Section: Introductionmentioning

confidence: 99%

A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets

Alcantud¹,

Calle²

2016

IJCIS

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We provide a methodology to perform an extensive and systematized analysis of problems where experts voice their opinions on the attributes of projects through a hesitant fuzzy decision matrix. This provides the decision-maker with ample information on which he or she can rely in order to make the final decision, in the form of segments instead of numbers. These segments derive from weighted average of new parametric expressions for two tenable indices of satisfaction, the distance to an ideal or the similarity to an anti-ideal, and permit to give a profuse unified picture of the relative performance of the projects. When the parameter grows, these indices tend to replicate the evaluation by respective simplistic expressions that only depend on the least, resp., the largest, evaluation and the number of evaluations in each cell.

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Multi-attribute group decision making methods with proportional 2-tuple linguistic assessments and weights

Cited by 17 publications

References 52 publications

Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making

Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making

A Hesitant Fuzzy Linguistic TODIM Method Based on a Score Function

A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets

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