Methods for multiple attribute decision making with hesitant fuzzy uncertain linguistic information and their application for evaluating the college English teachers' professional development competence

Xiao-mei, Zheng

doi:10.3233/ifs-141409

Cited by 9 publications

(9 citation statements)

References 24 publications

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“…With the wide applications of IVHFLSs, HFULSs and IVHULSs, a lot of scholars researched multi-criteria decision making (MCDM) problems under hesitant fuzzy uncertain linguistic environment. Zheng [23] defined the hesitant fuzzy uncertain linguistic power weighted average (HFULPWA) operator and applied it to evaluate the college English teachers' professional development competence. Zhao et al [56] developed hesitant fuzzy uncertain linguistic power weighted geometric (HFULPWG) operator to evaluate the resource integration capability of textile enterprise.…”

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

“…(1) Zheng [23], Huo and Zhou [24], Zhang et al [72], Wei [73] only investigated single person decision making methods for the HFUL, IVFL and IVHULS MCDM 3 problems respectively. With increasing competition and development of modern economy and technology, single DM cannot evaluate the complicated decision making problems comprehensively.…”

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

“…(2) Though some aggregation operators of hesitant fuzzy uncertain linguistic elements (HFULEs) have been proposed in [23,56,59,60], these operators neglect the interactions between elements in a set. Although, [24,57,58] considered the interactions between elements, it only considers the interactions between two "adjacent" elements, which is not comprehensive.…”

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

“…(3) Methods in [23,25,27,[30][31][32]35,36] ignored the interactive characteristics of criteria and preference of DMs when they performed the aggregation or ranking techniques. While research [21,26,28,29,37] considered the interactions between elements in a set.…”

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

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Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making

et al. 2020

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This paper develops a new method based on generalized hybrid Shapley Choquet integral for interval-valued hesitant fuzzy uncertain linguistic multi-criteria group decision making (MCGDM), where interactive characteristics of criteria is taken into account. First, a score function and a new accuracy function are defined to rank the interval-valued hesitant fuzzy uncertain linguistic elements (IVHFULEs). Based on the Shapley Choquet integral, some generalized Shapley Choquet operator for IVHFULEs are proposed including an interval-valued hesitant fuzzy uncertain linguistic generalized Shapley Choquet (IVHFULGSC) operator and an interval-valued hesitant fuzzy uncertain linguistic generalized hybrid Shapley Choquet (IVHFULGHSC) operator and some attractive properties for these two operators are investigated in detail. Then a Shapley Choquet integral-based Minkowski distance of interval-valued hesitant fuzzy uncertain linguistic sets (IVHFULSs) is defined. Subsequently, based on the maximization deviation method, a linear programming model is built to determine the individual fuzzy measure on criteria set for each decision maker (DM). By utilizing the individual closeness coefficients matrices, a new multi-objective fractional programming model which maximizes the collective relative closeness degrees of all alternatives is constructed to obtain the fuzzy measure on DMs set. The individual decision matrices are aggregated into the collective one by using the IVHFULGHSC operator. To obtain the collective Shapely fuzzy measure on criteria set, a linear programming model is established by maximizing the deviation of the evaluations of different alternatives on each criterion. Then, the collective closeness coefficients of alternatives are calculated to rank the alternatives. Thus, a new method based on generalized hybrid Shapley Choquet integral operator is brought forward for MCGDM with IVHFULEs. Finally, an example of investment on shared bikes is provided to illustrate the applicability of the proposed method and a validity test is conducted to demonstrate the effectiveness of the proposed method.INDEX TERMS Multi-criteria group decision making, Interval-valued hesitant fuzzy uncertain linguistic sets, Shapley Choquet integral, Technique for order preference by similarity to ideal solution (TOPSIS)

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Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

Section: Various Kinds Of Uncertain and Ambiguous Informationmentioning

confidence: 99%

See 2 more Smart Citations

Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making

et al. 2020

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“…The main focus was to gain an expert consensus on the future of Twitter and use it to learn future languages for university students. Other evaluations include multipleattribute decision-making (MADM) techniques with hesitant fuzzy uncertain linguistic information (HFULPWA) [51] to evaluate the development of the professional competence of college English teachers in the Southeast Mountain Area in Jilin Province. The decision-making technique and the technique for the order of preference by similarity to ideal solution (TOPSIS) [52] were used to evaluate and prioritise the factors that affect in-service training courses for the English language teachers of the secondary schools in selected districts in Tehran.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment and Ranking Framework for the English Skills of Pre-Service Teachers Based on Fuzzy Delphi and TOPSIS Methods

et al. 2019

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In this study, pre-service teaching refers to teaching English as a second language (TESL) to Malaysian students whose first language is not English. TESL prepares English-language learners to become future teachers of English as a second language. To date, no multi-criteria framework has been developed to evaluate and select the skills of pre-service teachers. This study presents a new framework to assess and rank the English skills of pre-service teachers on the basis of fuzzy Delphi and multi-criteria analysis. Three experiments were conducted. Firstly, criteria were identified from the literature review and the opinions of representative experts via the Delphi method. Secondly, 31 pre-service teachers were evaluated to determine the skills of pre-service teachers on the basis of Delphi criteria outcomes. English proficiency was tested through the English Language Testing Service and four language skill examinations. Each examination was evaluated by experts with vast experience in English teaching. Thirdly, pre-service teachers were ranked on the basis of a set of evaluated Delphi criteria outcomes through the technique for the order of preference by similarity to ideal solution (TOPSIS) method. Thereafter, the mean and standard deviation were utilized to ensure the identical systematic ranking of pre-service teachers. Findings are as follows. Twenty-five criteria from previous studies are representative as evaluated by the opinions of experts, which were gathered through interviews and a structured questionnaire. The validity of content was verified using a five-point Likert scale. With Delphi method outcomes, 14 criteria were selected and included in the final framework. The results of the proposed evaluation framework were tested on Malaysian pre-service teachers. TOPSIS is effective for solving the selection problems of pre-service teachers. In the final experiment, significant differences were recognized between the scores of groups, indicating identical ranking results.

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Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey

Liao

Zhang

Herrera‐Viedma

et al. 2017

Int. J. Fuzzy Syst.

207

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Methods for multiple attribute decision making with hesitant fuzzy uncertain linguistic information and their application for evaluating the college English teachers' professional development competence

Cited by 9 publications

References 24 publications

Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making

Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making

Assessment and Ranking Framework for the English Skills of Pre-Service Teachers Based on Fuzzy Delphi and TOPSIS Methods

Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey

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