Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

Li, Jian; Niu, Lili; Chen, Qiongxia; Wang, Zhongxing

doi:10.1007/s40747-021-00406-w

Cited by 10 publications

(5 citation statements)

References 62 publications

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“…Ref. [27] introduced a framework for the MCDM process based on the indecisive fuzzy BWM and verified the feasibility and validity of the model. Ref.…”

Section: The Best-worst Methodsmentioning

confidence: 93%

Identification of Product Innovation Path Incorporating the FOS and BERTopic Model from the Perspective of Invalid Patents

Zhang,

Wu,

Liu

et al. 2023

Applied Sciences

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Under the premise of resource constraint, it is crucial to identify the product innovation opportunities contained in failed patents through external search in order to compensate for the shortcomings of enterprises’ own technology. Due to the cost of patent research and development and the risk of infringement, this paper constructs a product innovation identification path that integrates the FOS and BERTopic model from the perspective of invalid patents. The path consists of three stages, including the identification of the problem to be solved by the product based on functional analysis, the extraction of the subject matter elements based on the core failed patent technology, and the generation and evaluation of innovative solutions based on TRIZ theory and the best- worst method (BWM). Finally, the feasibility of the path constructed in this paper is verified by taking a slurry pump as an example. The application results show that the product innovation identification path constructed in this paper can provide theoretical support for enterprises to carry out technological innovation activities efficiently.

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“…Ref. [27] introduced a framework for the MCDM process based on the indecisive fuzzy BWM and verified the feasibility and validity of the model. Ref.…”

Section: The Best-worst Methodsmentioning

confidence: 93%

Identification of Product Innovation Path Incorporating the FOS and BERTopic Model from the Perspective of Invalid Patents

Zhang,

Wu,

Liu

et al. 2023

Applied Sciences

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“…Because of its excellent performance, BWM is quickly accepted and adopted in many decision-making problems (Amiri et al 2020). In view of the potential of BWM to deal with DM weights in some cases (Li et al 2021b), we expand BWM in this study to obtain DM weights, shown as Fig. 1.…”

Section: The Methods To Determine the Dm Weights Based On Bwmmentioning

confidence: 99%

A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations

Xu,

Yao,

Wang

et al. 2024

Artif Intell Rev

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This paper advances the field of multi-attribute group decision making (MAGDM) by proposing a novel framework based on interval-valued q-rung dual hesitant fuzzy sets (IVq-RDHFSs). IVq-RDHFSs, which surpass most existing fuzzy sets, effectively represent complex fuzzy information by describing membership and non-membership degrees through interval value sets. However, prior MAGDM methods based on IVq-RDHFSs have been limited by the functions of operation rules and aggregation operators (AOs). This limitation is addressed through the construction of a new MAGDM framework, leveraging the robust Frank t-norm and t-conorm (FTT) operation and the extended power average (EPA) operator. The proposed framework features the interval-valued q-rung dual hesitant fuzzy Frank weighted extended power average (IVq-RDHFFWEPA) operator to obtain comprehensive evaluation values. The paper also introduces novel techniques for determining the weights of decision-makers and attributes. Practical applications of the proposed method are demonstrated through the assessment of desalination technology selection and rural green eco-tourism projects. Sensitivity and comparison analyses validate the superior functionality, accuracy, and flexibility of this method compared to many state-of-the-art methods. The contributions of this paper are two-fold: it develops efficient measurement techniques for IVq-RDHFSs, such as distance and weight calculation, and it introduces a comprehensive MAGDM method by integrating FTT and EPA under IVq-RDHFSs, which improves the efficiency of solving decision-making problems.

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“…In addition, COPRAS is able to delineate the ratios simultaneously to both ideal and worst solutions. Owing to its advantages, several researchers have employed the COPRAS approach for different purposes [ 16 , 46 , 54 ]. As MCDM problems have become increasingly complex and uncertain, different researchers have extended the conventional COPRAS approach to a variety of uncertain environments.…”

Section: Literature Reviewmentioning

confidence: 99%

Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

Mishra¹

2022

Complex Intell. Syst.

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Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-making (MCDM) problem due to the association of diverse conflicting criteria with uncertain information. The utilization of Fermatean fuzzy numbers is successfully treated with the qualitative data and uncertain information that often occur in realistic MCDM problems. In this paper, an extended complex proportional assessment (COPRAS) approach is developed to treat the decision-making problems in a Fermatean fuzzy set (FFS) context. First, to aggregate the Fermatean fuzzy information, a new Fermatean fuzzy Archimedean copula-based Maclaurin symmetric mean operator is introduced with its desirable characteristics. This proposed operator not only considers the interrelationships between multiple numbers of criteria, but also associates more than one marginal distribution, thus avoiding information loss in the process of aggregation. Second, new similarity measures are developed to quantify the degree of similarity between Fermatean fuzzy perspectives more effectively and are further utilized to compute the weights of the criteria. Third, an integrated Fermatean fuzzy-COPRAS approach using the Archimedean copula-based Maclaurin symmetric mean operator and similarity measure has been developed to assess and rank the alternatives under the FFS perspective. Furthermore, a case study of RES selection is presented to validate the feasibility and practicality of the developed model. Comparative and sensitivity analyses are used to check the reliability and strength of the proposed method.

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Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

Cited by 10 publications

References 62 publications

Identification of Product Innovation Path Incorporating the FOS and BERTopic Model from the Perspective of Invalid Patents

Identification of Product Innovation Path Incorporating the FOS and BERTopic Model from the Perspective of Invalid Patents

A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations

Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

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