Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method

Zheng, Yuanhang; Zhang, Xu; He, Yulin; Liao, Huchang

doi:10.1016/j.asoc.2018.04.035

Cited by 73 publications

(38 citation statements)

References 33 publications

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“…Following the result of Definition 3, the scores of (26) and (27) can be computed. Therefore, we can identify the minimal value of R i using the formulae…”

Section: The Extended Copras Methods With Dhfmsmmentioning

confidence: 99%

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An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

Darko

Liang

2020

Int J Intell Syst

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The well-known Maclaurin symmetric mean (MSM) and the dual MSM (DMSM) are introduced as important operators to handle multiattribute group decision making (MAGDM) information. The MSM and the DMSM operators have the prominent characteristic of accurately describing the interdependence of multi-input arguments. Due to their advantage, we extend the MSM and the DMSM into the dual hesitant fuzzy environment to aggregate uncertain information. Particularly, we propose some novel aggregation operators, namely dual hesitant fuzzy MSM, weighted dual hesitant fuzzy MSM, dual hesitant fuzzy dual MSM, and weighted dual hesitant fuzzy dual MSM operators. Moreover, we study some properties and special remarks regarding different values of the parameter. With an extension of the complex proportional assessment method, we formulate a new approach for the dual hesitant fuzzy MAGDM. Finally, we test the applicability and feasibility of our proposed method by solving a mobile payment platform selection problem in Ghana.

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“…Following the result of Definition 3, the scores of (26) and (27) can be computed. Therefore, we can identify the minimal value of R i using the formulae…”

Section: The Extended Copras Methods With Dhfmsmmentioning

confidence: 99%

“…For example, Zolfani et al 25 used the COPRAS method to assess environmental issues. Zheng et al 26 researched on severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method. Furthermore, Schitea et al 27 used COPRAS to solve hydrogen mobility roll-up site selection problem.…”

Section: Introductionmentioning

confidence: 99%

An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

Darko

Liang

2020

Int J Intell Syst

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“…Moreover, Chatterjee et al [48,49] and Mousavi-Nasab et al [23] extended the COPRAS method for material selection. Zheng et al [50] proposed a hesitant fuzzy linguistic COPRAS method and applied the same for medical application. Chatterjee and Kar [5,51] presented a hybrid model by extending the COPRAS method fuzzy and Z-number context and used the same for the evaluation of the telecommunication industry and renewable energy sources.…”

Section: Q-rofs Based Copras Methodsmentioning

confidence: 99%

Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information

et al. 2019

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As an attractive generalization of the intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-ROFS) provides the decision makers (DMs) with a wide window for preference elicitation. Previous studies on q-ROFS indicate that there is an urge for a decision framework which can make use of the available information in a proper manner for making rational decisions. Motivated by the superiority of q-ROFS, in this paper, a new decision framework is proposed, which provides scientific methods for multi-attribute group decision-making (MAGDM). Initially, a programming model is developed for calculating weights of attributes with the help of partially known information. Later, another programming model is developed for determining the weights of DMs with the help of partially known information. Preferences from different DMs are aggregated rationally by using the weights of DMs and extending generalized Maclaurin symmetric mean (GMSM) operator to q-ROFS, which can properly capture the interrelationship among attributes. Further, complex proportional assessment (COPRAS) method is extended to q-ROFS for prioritization of objects by using attributes' weight vector and aggregated preference matrix. The applicability of the proposed framework is demonstrated by using a renewable energy source prioritization problem from an Indian perspective. Finally, the superiorities and weaknesses of the framework are discussed in comparison with state-of-the-art methods.Sustainability 2019, 11, 4202 2 of 21 inferred from their analysis that India has a high scope for renewable energy sources and it can effectively manage energy crisis by proper planning and management. Recently, Mardani et al. [4] conducted a detailed analysis on the use of multi-attribute group decision-making (MAGDM) methods for solving energy management problems, and it can be inferred from the analysis that energy source evaluation and selection can be effectively solved by using MAGDM perspectives. Furthermore, there is uncertainty in the process of selection, which can be effectively managed by using fuzzy sets and its variants [5]. Baek and Lee et al. [6] proposed a new design strategy for optimal selection of renewable energy system (RES) in buildings. Gonzalez et al. [7] presented a conceptual model to understand the relationship among different factors that correspond to the sustainability and acceptance of RES projects. Cavallaro et al. [8,9] presented decision frameworks under intuitionistic fuzzy context to rationally select solar-hybrid power plants.Motivated by these claims, in this paper, we propose a new decision framework for rational prioritization of renewable energy sources. The preference information used here is q-rung orthopair fuzzy set (q-ROFS) [10], which is a powerful generalization of the intuitionistic fuzzy set (IFS) [11] and Pythagorean fuzzy set [12]. q-ROFS provides a wider window to decision makers (DMs) for preference elicitation by relaxing the constraint (sum of the degree of membership and non-membership less than or equal to...

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“…At present, many MCDM methods under the HFL environment have been presented, such as the HFL-AHP (Analytic Hierarchy Process) (Tuysuz & Berna, 2017;Mi et al, 2019b), HFL-BWM (Liao, Mi, Yu, & Luo, 2019a), HFL-TOPSIS method (Beg, & Rashid, 2013), HFL-COPRAS method (Zheng, Xu, He, & Liao, 2018), HFL-VIKOR method (Liao, Xu, & Zeng, 2015a), and HFL-MABAC (Multi-Attributive Border Approximation area Comparison) method (Sun, Hu, Zhou, & Chen, 2018). The AHP method is a popular MCDM method which is often used to calculate weights of criteria.…”

Section: Literature Review On Applications Of Mcdm Techniquesmentioning

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

Self Cite

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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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Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method

Cited by 73 publications

References 33 publications

An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information

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

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