Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence

Wu, Yuzhu; Zhang, Zhen; Kou, Gang; Zhang, Hengjie; Chao, Xiangrui; Li, Cong-Cong; Dong, Yucheng; Herrera, Francisco

doi:10.1016/j.inffus.2020.08.018

Cited by 162 publications

(25 citation statements)

References 117 publications

(164 reference statements)

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“…[59][60][61][62][63][64] We will use CLEs to convey complex linguistic expression in real DMPs and building corresponding complex decision-making approaches. On the other hand, recently, some new linguistic computational models 22,65,66 are introduced to manage multigranular linguistic distribution assessments for their application to large-scale MAGDM problems. In large-scale group decision-making process, 67,68 there is a mass of heterogeneous information.…”

Section: Resultsmentioning

confidence: 99%

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Liu

Abdullah

et al. 2021

Int J Intell Syst

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In multiattribute group decision-making (MAGDM), experts often articulate their preference information to support decision-making by applying the multigranular linguistic model. Thus, the present work aims to introduce a novel MAGDM model to manage multigranular generalized orthopair 2-tuple linguistic information (GO2TLI). To begin with, a generalized orthopair 2-tuple linguistic model is put forward with the attempt of taking advantages of both q-rung orthopair fuzzy set (q-ROFS) and the 2-tuple linguistic model, while a transformation approach is supplied to tackle the consistency of multigranular GO2TLI. In addition, the Archimedean Copula as well as the Co-Copula operators are extended to handle GO2TLI along with their operational laws, to comprehensively model the relationship among attributes and experts. The Banzhaf Choquet-Copula aggregation operators on the generalized orthopair 2-tuple linguistic (GO2TLBCCA) are introduced, also some of its properties discussed. Third, the algorithms for regulating and determining the fuzzy measure (FM) of attributes and experts sets are proposed, followed by the corresponding decision-making approaches based upon the proposed GO2TLBCCA. The proposed MAGDM model can not only accommodate effectively the FMs of attribute (and expert) sets which are given subjectively, but also

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Section: Resultsmentioning

confidence: 99%

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Liu

Abdullah

et al. 2021

Int J Intell Syst

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“…However, the approach also has some limitations. On one hand, in this paper, it is assumed that the evaluation indices are expressed by real numbers, interval numbers, linguistic variables and intuitionistic fuzzy numbers, which cannot be used to deal with the situations when customers and electricity retail companies provide more elaborated and complex assessments, such as unbalanced hesitant fuzzy linguistic term sets [38] and distributed linguistic information [39]. On the other hand, in this paper, only three customers and four PPVS products provided by an electricity retail company are considered in the empirical analysis.…”

Section: Merits and Limitationsmentioning

confidence: 99%

Premium Power Value-Added Service Product Decision-Making Method Based on Multi-Index Two-Sided Matching

Liu

et al. 2021

IEEE Access

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“…Formally, if linguistic terms of an element are consecutive in S and distribution information of the element is 1, then the FLE is reduced to HFLTS of S. If each element of the FLE is a single element subset of S, then the FLE may be reduced to PLTS, proportional HFLTS [21] or possibility distribution for HFLTS [22] according to different distribution information. Till now, many kinds of hesitant linguistic expressions have been proposed to represent linguistic assessments of alternatives in hesitant linguistic decision environments [23][24][25], it seems that FLE is an unform representation of existing hesitant linguistic expressions with distribution information on linguistic terms [26,27].…”

Section: Related Workmentioning

confidence: 99%

A Novel Linguistic Decision Making Method Based on the Voting Model for Large-Scale Linguistic Decision making

Pei

Yan

2021

Preprint

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The notable characteristic of large-scale linguistic decision making problems is that there are so many decision makers provide linguistic assessments according to fuzzy linguistic representation models. In real world applications, fuzzy linguistic terms mean different things for different people, it means that linguistic assessments based on linguistic representation models may be simultaneous in the same large-scale linguistic decision making problems. To this end, a novel linguistic decision making method based on the voting model is proposed in the paper, which can be utilized to deal with large-scale linguistic decision making problems with linguistic assessments based on multi linguistic representation models. In large-scale linguistic decision process, evaluation-based voting is defined and multi linguistic decision matrix is designed to represent multi linguistic assessments provided by many decision makers according to linguistic representation models, properties of the decision matrix are analysed to show that linguistic assessments based on linguistic representation models can be simultaneously represented. Based on multi linguistic decision matrix, a new linguistic decision making framework is developed to deal with large-scale linguistic decision making problems with multi linguistic assessments, in which normalization of multi linguistic decision matrix and trust degrees of linguistic terms are contained, more important, based on trust degrees of linguistic terms and 2-tuple fuzzy linguistic aggregation operators, an uniform fusion method of multi linguistic assessments is proposed to aggregate multi linguistic assessments of large-scale linguistic decision making problems. Finally, user experiences of shared bikes, which is a large-scale linguistic decision making problem in real-world applications, is employed to show the new decision making framework and the uniform fusion method of multi linguistic assessments, furthermore comparison with existing linguistic decision making methods are analyzed in the example, it seems that multi linguistic decision matrix and the uniform fusion method are useful and effective tools to deal with large-scale linguistic decision making problems with multi linguistic assessments.

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Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence

Cited by 162 publications

References 117 publications

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Group decision support methodology based upon the multigranular generalized orthopair 2‐tuple linguistic information model

Premium Power Value-Added Service Product Decision-Making Method Based on Multi-Index Two-Sided Matching

A Novel Linguistic Decision Making Method Based on the Voting Model for Large-Scale Linguistic Decision making

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