A new integrated multi-attribute decision-making approach for mobile medical app evaluation under q-rung orthopair fuzzy environment

Tang, Guolin; Yang, Yongxuan; Gu, Xiaowei; Chiclana, Francisco; Лю, Пэйдэ; Wang, Fubin

doi:10.1016/j.eswa.2022.117034

Cited by 38 publications

(6 citation statements)

References 55 publications

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“…We have provided two numerical examples to illustrate the practical application of our decision-making approach, and conducted sensitivity, validity, and comparison analyses through various examples. Furthermore, two case studies demonstrate the potential applicability of our method to practical MAGDM problems (Narang et al, 2022;Tang et al, 2022). Despite the inherent complexity of IVq-RDHFSs and the increased computational requirements, our method effectively handles diverse complex cognitive information.…”

Section: Discussionmentioning

confidence: 91%

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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Section: Discussionmentioning

confidence: 91%

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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“…Considering heterogeneous relationships among criteria and the DMs' bounded rational behaviour, Tang et al . (2022a, b) proposed a new IT2F programming method to handle risky MCDM problems. In the aspect of obtaining attribute weight, the method of determining attribute weight is divided into subjective weight method and objective weight method.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on the BWM and Shapley value, Tang et al . (2022a, b) designed two linear mathematical programming models for optimal fuzzy measures on the attribute set under q-rung orthopair fuzzy environment, which can objectively obtain the attribute weight. Zhang et al .…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-objective grey hierarchical group consensus model and its application

Liu

Diao

2023

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PurposeThe paper attempts to construct a novel multi-objective grey hierarchical group consensus approach to deal with the group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among decision makers (DMs).Design/methodology/approachTo deal with these group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among DMs non-cooperative behavior in uncertain information systems, considering the influence of coordination cost and the degree of group consensus, based on the idea of grey situation decision-making, the authors establish a multi-objective grey hierarchical group consensus model, and design different invalid decision elimination rules for decision-making groups of different sizes, and use a case verifies the effectiveness and feasibility of the model.FindingsWith the continuous improvement of the coordination cost budget, the degree of consensus of all departments and the overall consensus tend to be stable, and will no longer change with the increase of the coordination cost budget. The cost required by each department is basically consistent with the response trend of the cost required to coordinate the overall situation to the pre-set lower limit of group consensus.Originality/valueThe proposed approach can succeed in identifying DMs' information, and mine the DMs' information and help make a relatively more scientific decision.

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“…Because IFSS is a limited concept, Peng et al 37 established the concept of Pythagorean FSS (PyFSS). Tang tackle the DMPs under R set 34 , q-rung orthopair set and the rough q-rung orthopair set 38 , 39 . Husain et al 40 define the aggregation operators of q-rung orthopair FS set, which generalizes the intuitionistic FSS along with the Pythagorean FSS and some q-rung orthopair FS aggregation operators.…”

Section: Introductionmentioning

confidence: 99%

A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information

Ashraf

Sohail

Choudhary

et al. 2023

Sci Rep

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Due to the frequent occurrence of numerous emergency events that have significantly damaged society and the economy, the need for emergency decision-making has been manifest recently. It assumes a controllable function when it is critical to limit property and personal catastrophes and lessen their negative consequences on the natural and social course of events. In emergency decision-making problems, the aggregation method is crucial, especially when there are more competing criteria. Based on these factors, we first introduced some basic concepts about SHFSS, and then we introduced some new aggregation operators such as the spherical hesitant fuzzy soft weighted average, spherical hesitant fuzzy soft ordered weighted average, spherical hesitant fuzzy weighted geometric aggregation, spherical hesitant fuzzy soft ordered weighted geometric aggregation, spherical hesitant fuzzy soft hybrid average, and spherical hesitant fuzzy soft hybrid geometric aggregation operator. The characteristics of these operators are also thoroughly covered. Also, an algorithm is developed within the spherical hesitant fuzzy soft environment. Furthermore, we extend our investigation to the Evaluation based on the Distance from Average Solution method in multiple attribute group decision-making with spherical hesitant fuzzy soft averaging operators. And a numerical illustration for “supply of emergency aid in post-flooding the situation” is given to show the accuracy of the mentioned work. Then a comparison between these operators and the EDAS method is also established in order to further highlight the superiority of the established work.

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A new integrated multi-attribute decision-making approach for mobile medical app evaluation under q-rung orthopair fuzzy environment

Cited by 38 publications

References 55 publications

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

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

A multi-objective grey hierarchical group consensus model and its application

A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information

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