A Method Based on Topsis and Distance Measures for Hesitant Fuzzy Multiple Attribute Decision Making

Zeng, Shouzhen; Xiao, Yao

doi:10.3846/20294913.2016.1216472

Cited by 69 publications

(43 citation statements)

References 57 publications

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“…straight line [16][17][18][19]. As shown in OE in Figure 3, because the weight of X is greater than that of Y, resulting in the coordination reference line becoming OE, closer to the X-axis, the angle further increases and N is even more inconsistent.…”

Section: The Degree Of Coordination As Shown Inmentioning

confidence: 92%

A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals

Yang

Duan

et al. 2018

Mathematical Problems in Engineering

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While TOPSIS is a widely used evaluation method, it lacks evaluation from the perspective of indicator coordination. Based on the analysis of TOPSIS evaluation methods, this paper proposes a new assessment method, coordinated TOPSIS, which takes into account the advantages of TOPSIS evaluation methods and the coordination level of evaluation indicators. Taking the robotics academic journals as an example, the TOPSIS evaluation and the coordinated TOPSIS evaluation results are compared. The research shows that the weights of the coordinated TOPSIS method can be manually adjusted according to the purpose of evaluation and have a good flexibility; the TOPSIS evaluation results and coordinated TOPSIS evaluation results have a high degree of correlation, but the difference from the perspective of the ranking is big; the coordinated TOPSIS is very suitable for evaluation field that needs to consider the coordinated development, and it can be replicated.

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Section: The Degree Of Coordination As Shown Inmentioning

confidence: 92%

A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals

Yang

Duan

et al. 2018

Mathematical Problems in Engineering

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“…Its advantages are mainly manifested in the following three aspects: first, it can handle more uncertainty in real world; second, no prior distribution is needed before the combination of evidence from individual information sources; third, it allows one to specify a degree of ignorance in some situations instead of being forced to be assigned for probabilities [39]. The relevant definitions are shown as follows [40][41][42][43].…”

Section: The Proposed Methodsmentioning

confidence: 99%

Mass Collaboration-Driven Method for Recommending Product Ideas Based on Dempster-Shafer Theory of Evidence

Shan

et al. 2018

Mathematical Problems in Engineering

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In the mass collaboration mode, there exist a large number of product ideas with low value density and thousands of participants who are differed on their professional backgrounds, knowledge structures, and value orientations. It is impossible for each participant to give a comprehensive evaluation of each idea as that in traditional methods for the reasons as mentioned above. In order to solve this problem, a mass collaboration-driven method for recommending product ideas is proposed based on Dempster-Shafer theory of evidence (DST). Firstly, the method for computing basic probability assignment (BPA) function, which can effectively reflect the facticity of experts’ evaluations, is introduced by discounting belief degrees with weights to extract the evaluation information of product ideas. Then, Dempster’s combination rule is used to combine the derived BPA functions for two times: the first one is to combine the discounted BPA functions on all criteria with respect to a specified expert and the other is to combine the combined BPA functions for all experts with respect to a specified alternative. Finally, the steps of mass collaboration-driven method for recommending product ideas based on the DST are proposed. An illustrative example is provided to demonstrate the applicability of the proposed method.

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“…Zeng, Mu, and Balezentis (2018) analysed the usefulness of the OWAWA operator in Pythagorean fuzzy situations. More recently, Zeng and Xiao (2018) developed a new TOPSIS method based on OWAWA for hesitant fuzzy MADM problems.…”

Section: The Ilowawad Operatormentioning

confidence: 99%

Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure

Liu

Wang

et al. 2019

Economic Research-Ekonomska Istraživanja

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This study aims to integrate the intuitionistic linguistic multi-attribute decision making (MADM) method which builds upon an integrated distance measure into supplier evaluation and selection problems. More specifically, an intuitionistic linguistic integrated distance measure based on ordered weighted averaging operator (OWA) and weighted average approach is presented and applied. The desirable characteristics and families of the developed distance operator are further explored. In addition, based on the proposed distance measure, a supplier selection problem for an automobile factory is used to test the practicality of its framework. The effectiveness and applicability of the presented framework for supplier selection are examined by carrying comparative analysis against the existing techniques of aggregation. ARTICLE HISTORY

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A Method Based on Topsis and Distance Measures for Hesitant Fuzzy Multiple Attribute Decision Making

Cited by 69 publications

References 57 publications

A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals

A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals

Mass Collaboration-Driven Method for Recommending Product Ideas Based on Dempster-Shafer Theory of Evidence

Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure

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