Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA

Liao, Huchang; Qin, Rui; Gao, Chenyuan; Wu, Xin; Hafezalkotob, Arian; Herrera, Francisco

doi:10.1016/j.inffus.2018.08.006

Cited by 157 publications

(77 citation statements)

References 46 publications

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“…In the proposed method, the extension of ARAS method in HFL environment is calculated according to the subscripts of linguistic terms. However, this calculation method for subscripts has been proved to be defective to some extent (Liao et al, 2019b). Therefore, in the future, we shall research that converting HFLTSs to numerical values by score functions…”

Section: Discussionmentioning

confidence: 99%

Integrating BWM and Aras Under Hesitant Linguistic Environment for Digital Supply Chain Finance Supplier Section

Liao

Wen

Liu

2019

Technological and Economic Development of Economy

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In the era of intelligence and informatization, digital supply chain finance (DSCF) has become one of the important trends in the development of supply chain finance. With the gradual increase of DSCF suppliers and various requirements of small and medium-sized enterprises for suppliers in providing financing services, selecting the most suitable DSCF supplier is of great significance for most small and medium-sized enterprises to expand reproduction and improve competitiveness. To address such a decision-making problem, this paper proposes a new multi-expert multiple criteria decision-making model by integrating the Best Worst Method (BWM) and Additive Ratio ASsessment (ARAS) method under the hesitant fuzzy linguistic environment, in which the hesitant fuzzy linguistic BWM method is applied to determine the weights of criteria while the hesitant fuzzy linguistic ARAS method is proposed to rank the candidate suppliers. A case study is given to demonstrate the procedure of the proposed method for the selection of optimal DSCF suppliers, which shows the feasibility of the proposed method. Finally, sensitivity analysis and comparative analyses are provided to testify the applicability and superiority of the proposed method.

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Section: Discussionmentioning

confidence: 99%

Integrating BWM and Aras Under Hesitant Linguistic Environment for Digital Supply Chain Finance Supplier Section

Liao

Wen

Liu

2019

Technological and Economic Development of Economy

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“…It is difficult for experts to evaluate an attribute with crisp numbers. Making evaluations in linguistic terms is intuitive and close to our cognition (Liao et al, ). Zadeh () proposed the fuzzy linguistic approach, which enables experts to make qualitative judgments in words or sentences, such as “ very important .” Although the fuzzy linguistic approach enhances the feasibility, flexibility, and credibility of decision information expressions, it is limited to addressing complex linguistic evaluations, unlike the singleton linguistic terms that are utilized to depict experts' opinions.…”

Section: The Improved Multimoora Methods With the Borda Rule And Combimentioning

confidence: 99%

An improved MULTIMOORA method with combined weights and its application in assessing the innovative ability of universities

Dong

et al. 2019

Expert Systems

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Innovative ability plays a critical role in the sustainable development of universities. Although the assessment of universities' innovative ability is a significant undertaking, it is difficult work. This challenge can be addressed as a typical multiple attribute decision making (MADM) problem, in which multiple attributes should be considered with different levels of importance. This paper aims to propose an integrated MADM method to solve this issue. To do so, we first introduce the least square method with the hesitant fuzzy linguistic term set to determine the subjective attribute weights. Considering that the selected attributes are not always in conflict with each other due to the complexity of objective things, we further present a correlation coefficient‐based method to calculate another kind of attribute weight. The final weights are the combined form of these two types of attribute weights. In addition, we enhance the robust ranking method, MULTIMOORA, with the Borda rule to calculate the utility values of universities and derive their rankings. Finally, after establishing an index system, the assessment of the innovative ability of 26 world‐class construction universities in China is conducted by using the proposed method. The advantages and disadvantages of the assessed universities are analysed.

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“…According to [39][40][41], the greater the hesitant degree of evaluation information, the lower the reliability could be. Thus, the expert with higher hesitant degree should be endowed with a lower weight.…”

Section: Determine Expert Weights Based On a Combination Weighting Mementioning

confidence: 99%

Identification of Key Performance Indicators for Hospital Management Using an Extended Hesitant Linguistic DEMATEL Approach

et al. 2019

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Performance analysis is of great significance to increase the operational efficiency of healthcare organizations. Healthcare performance is influenced by numerous indicators, but it is unrealistic for administrators to improve all of them due to the restriction of resources. To solve this problem, we integrated double hierarchy hesitant fuzzy linguistic term sets (DHHFLTSs) with the decision-making trial and evaluation laboratory (DEMATEL) and proposed a DHHFL– DEMATEL method to identify key performance indicators (KPIs) in healthcare management. For the developed approach, the judgments of experts on the inter-relationships among indicators were represented by DHHFLTSs, and a novel combination weighting approach was proposed to obtain experts’ weights in line with hesitant degree and consensus degree. Then, the normal DEMATEL method was extended and used for examining the cause and effect relationships between indicators; the technique for the order of preference by similarity to the ideal solution (TOPSIS) method was utilized to generate the ranking of performance indicators. Finally, the feasibility and effectiveness of the proposed DHHFL–DEMATEL approach were illustrated by a practical example in a rehabilitation hospital.

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Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA

Cited by 157 publications

References 46 publications

Integrating BWM and Aras Under Hesitant Linguistic Environment for Digital Supply Chain Finance Supplier Section

Integrating BWM and Aras Under Hesitant Linguistic Environment for Digital Supply Chain Finance Supplier Section

An improved MULTIMOORA method with combined weights and its application in assessing the innovative ability of universities

Identification of Key Performance Indicators for Hospital Management Using an Extended Hesitant Linguistic DEMATEL Approach

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