A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems

Лю, Пэйдэ; Wang, Dongyang

doi:10.1007/s40747-021-00372-3

Cited by 15 publications

(4 citation statements)

References 49 publications

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“…Each alternative is evaluated and ranked by specifying the difference between the distances. The MABAC method has the advantages that the computation is simple, the results are stable, and a comprehensive result can be obtained considering the potential amount of gain or loss [36], which is a helpful, reliable tool for MADM [37]. Currently, this method is utilized in MADM problems.…”

Section: Classical Mabac Methodsmentioning

confidence: 99%

Multidimensional Quality Evaluation of Graduate Thesis: Based on the Probabilistic Linguistic MABAC Method

Luo¹,

Zhang²,

Tang³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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Graduate education is the main way to train high-level innovative talents, the basic layout to cope with the global talent competition, and the important cornerstone for implementing the innovation-driven development strategy and building an innovation-driven country. Therefore, graduate education is of great remarkably to the development of national education. As an important manifestation of graduate education, the quality of a graduate thesis should receive more attention. It is conducive to promoting the quality of graduates by supervising and examining the quality of the graduate thesis. For this purpose, this work is based on text mining, expert interviews, and questionnaire surveys to obtain the factors influencing the quality of a graduate thesis first. Then, through three rounds of expert consultation, a multidimensional evaluation indicator system for the graduate thesis quality is built. Furthermore, probabilistic linguistic term sets (PLTSs) are utilized to obtain the initial evaluation information and apply the stepwise weight assessment ratio analysis method to determine the weights of attributes. In the ensuing step, the novel multi-attribute border approximation area comparison based on the PLTS method is established. Finally, the proposed method is employed in a case study concerning the quality evaluation of a graduate thesis and the effectiveness of this approach is further illustrated.

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Section: Classical Mabac Methodsmentioning

confidence: 99%

Multidimensional Quality Evaluation of Graduate Thesis: Based on the Probabilistic Linguistic MABAC Method

Luo¹,

Zhang²,

Tang³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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“…It is based on the distance of evaluation matrix obtained from each decision maker to the border approximation area matrix. Numerous studies based on application of MABAC method to decision making theory are available in the literature (Java et al, 2022;Jiang et al, 2022;Su et al, 2022;Liu and Wang, 2022;Gurmani et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved FMEA-MABAC Method Based on Prospect Theory in a Q-Rung Orthopair Hesitant Fuzzy Environment: A Case Study on Risk Assessment of Aircraft Landing System

Köseoğlu,

Altun,

Şahin

2023

Preprint

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This study presents an approach by considering a risk assessment problem handled as a decision problem. The main purpose of this study is to observe how results are affected with more sensitive calculations and how results change including psychological behavior of decision maker to the process. For this reason, prospect theory is integrated to the MABAC method in which probability information is included in the process by probability density function with normal distribution. Also, Best-Worst method is used to determine weights of criteria according to each decision maker. Besides, weights of each decision maker are obtained using TOPSIS arguments. In addition, the proposed approach is applied under Q-rung orthopair hesitant fuzzy environment for more comprehensive study field. In the numerical part of this study, aircraft landing system is handled as an FMEA problem and by combining MABAC method, the novel method is applied to test how practical and consistent under improvements.

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“…Combining with the interval numbers and the interval distance function, Lo et al proposed I-MDMto detemine the objective weights of uncertain information. In recent years, many scholars have presented some improved MDM decision-making methods, such as TOPSIS Employment quality of college graduates (Lin et al, 2019), MULTIMOORA (Huang et al, 2020), and MABAC (Liu and Wang, 2022),etc. These methods have been applied into many fields, such as the security evaluation of computer system, product demand evaluation and enterprise innovation ability evaluation,etc.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of employment quality of college graduates based on interval MULTIMOORA with combination weights

Xie

Wang

Chen

et al. 2023

IJICC

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PurposeThe purpose of this paper is to develop a novel interval Multi-Objective Optimization by a Ratio Analysis plus the Full Multiplicative Form(MULTIMOORA) with combination weights to evaluate the employment quality of college graduates, where the criteria are expressed by interval numbers and the weights of criteria are completely unknown.Design/methodology/approachFirstly, considering the subjective uncertainty of the weights of the criteria, the interval best worst method (I-BWM) was present to determine the subjective weights of the criteria. Secondly, by the improved interval number distance measure, an improved interval deviation maximization method (I-MDM) was introduced to detemine the objective weights. In the following, based on the I-BWM and the improved I-MDM, a combination weighting method that takes into account the subjective and objective weights is proposed. Finally, a multi-criteria decision-making method based on the interval MULTIMOORA with combination weights is present to evaluate the employment quality of college graduates, and then a comparative analysis with some of the existing distance measures of interval numberswas conducted to illustrate the flexibility.FindingsAccording to the data of the Report on Employment Quality of Chinese College Graduats released by Mycos Research Institute in 2016–2020 and 2021–2022, the proposed method was used to evaluate the employment quality of college graduates during the period before and after the COVID-19 epidemic. The results verify that the method is more reasonable because the subjective and objective weights of the criteria can be fully considered. Finally, the feasibility and practicability of the proposed method are further verified by varying parameters.Originality/valuePresent an evaluation method on the employment quality of college graduates based on the Interval MULTIMOORA with combination weights considering the subjective and objective weights. And the proposed method is proved that it can provide a more reasonable evaluation results. At the same time, it is verified that the feasibility and the practicability of the proposed method are affected by varying parameters in the paper.

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A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems

Cited by 15 publications

References 49 publications

Multidimensional Quality Evaluation of Graduate Thesis: Based on the Probabilistic Linguistic MABAC Method

Multidimensional Quality Evaluation of Graduate Thesis: Based on the Probabilistic Linguistic MABAC Method

An Improved FMEA-MABAC Method Based on Prospect Theory in a Q-Rung Orthopair Hesitant Fuzzy Environment: A Case Study on Risk Assessment of Aircraft Landing System

Evaluation of employment quality of college graduates based on interval MULTIMOORA with combination weights

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