Cloud model based approach to group decision making with uncertain pure linguistic information

Peng, Bo; Zhou, Jinming; Peng, Ding-Hong

doi:10.3233/jifs-161473

Cited by 30 publications

(14 citation statements)

References 48 publications

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“…The method in [26] x 4 x 3 x 2 x 1 x 4 x 1 The method in [41] x 2 x 4 x 3 x 1 x 2 x 1 UPLC [42] x 4 x 2 x 3 x 1 x 4 x 1 UPLHAA [43] x 4 x 3 x 1 x 2 x 4 x 2 The proposed method x 4 x 2 x 3 x 1 x 4 x 1…”

Section: Methodsmentioning

confidence: 99%

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Multiple Criteria Group Decision-Making Considering Symmetry with Regards to the Positive and Negative Ideal Solutions via the Pythagorean Normal Cloud Model for Application to Economic Decisions

Zhou

Baležentis

et al. 2018

Symmetry

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Pythagorean fuzzy sets are highly appealing in dealing with uncertainty as they allow for greater flexibility in regards to the membership and non-membership degrees by extending the set of possible values. In this paper, we propose a multi-criteria group decision-making approach based on the Pythagorean normal cloud. Some cloud aggregation operators are presented in this paper to facilitate the appraisal of the underlying utilities of the alternatives under consideration. The concept and properties of the Pythagorean normal cloud and its backward generation algorithm, aggregation operators and distance measurement are outlined. The proposed approach resembles the TOPSIS technique, which, indeed, considers the symmetry of the distances to the positive and negative ideal solutions. Furthermore, an example from e-commerce is presented to demonstrate and validate the proposed decision-making approach. Finally, the comparative analysis is implemented to check the robustness of the results when the aggregation rules are changed.

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Section: Methodsmentioning

confidence: 99%

“…We further employ the uncertain pure linguistic information cloud (UPLC) model based on [42]. Utilizing UPLC to convert the uncertain linguistic values into an integrated cloud renders the following ranking of all alternatives: x 4 x 2 x 3 x 1 ; and the best camera is x 4 .…”

Section: Comparative Analysismentioning

confidence: 99%

Multiple Criteria Group Decision-Making Considering Symmetry with Regards to the Positive and Negative Ideal Solutions via the Pythagorean Normal Cloud Model for Application to Economic Decisions

Zhou

Baležentis

et al. 2018

Symmetry

Self Cite

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“…Assuming that [Xmin, Xmax] is a valid domain, S = {s-g, …, s0, …, sg, g ∈ N} is an ordered discrete term set, where N represents a non-negative integer and si represents a linguistic term, that can generate 2g + 1 clouds, denoted as ỹg = (Ex-g, En-g, He-g), …, ỹ0 = (Ex0, En0, He0), …, ỹg = (Exg, Eng, Heg) [47].…”

Section: En En En Enmentioning

confidence: 99%

A Practical, Integrated Multi-Criteria Decision-Making Scheme for Choosing Cloud Services in Cloud Systems

Liu

Xiao

et al. 2021

IEEE Access

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Currently, with the rapid development and broad application of cloud computing technology, companies tend to use cloud services to build their applications or business systems. Selecting a trustworthy cloud service is a challenging multi-criteria decision-making (MCDM) problem. Moreover, decision makers are more inclined to use linguistic descriptions to assess the quality of service (QoS) for cloud services due to the limitation of the decision makers' knowledge and the vagueness of criteria information. Therefore, we propose a practical, integrated MCDM scheme for cloud service evaluation and selection of cloud systems, allowing decision makers to compare cloud services based on QoS criteria. First, to more accurately and effectively express the uncertainty of qualitative concepts, the cloud model is used as a conversion tool for qualitative and quantitative information to quantify linguistic terms. Second, given the shortcomings of traditional differentiating measures between cloud models, a more comprehensive distance measurement algorithm using cloud droplet distribution is proposed for the cloud model. The new distance measurement algorithm is applied to the calculation of cloud model similarity and the gray correlation coefficient. The dynamic expertise weights are determined by calculating the similarity between the expert evaluation cloud model and the arithmetic mean cloud model. Then, we propose a technique for order preference by similarity to an ideal solution (TOPSIS) improved by the grey relational analysis (GRA) to calculate the relative closeness of alternatives to the positive and negative ideal solutions and establish a multi-objective optimization model that maximizes the relative closeness of all alternatives to determine the weights of the criteria. Finally, we reconstructed the QoS evaluation criteria for cloud services from both application and service perspectives, and the classical TOPSIS is applied to generate alternative rankings. The practicability and robustness of the scheme were tested through the cloud service selection problem experienced by a real mining company's scheduling platform, which can provide practical references with the theoretical basis for the selection and evaluation of cloud services. INDEX TERMSCloud Services Selection, Quality of Service (QoS), Cloud Model, Multi-Criteria Decision-Making (MCDM), Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), Grey Relational Analysis (GRA). I. INTRODUCTIONWith the development and widening application of Internet technology as well as the demands created by modern big data collection, the demand for more powerful Internet data processing capabilities is increasing, and "cloud computing" technology has gradually become the focus of the computer technologies field [1], [2]. Cloud computing integrates many computing resources, storage resources, and software resources through information technologies such as distributed computing, utility computing, parallel computing,

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“…The golden section method can be used for cloud level segmentation (Wang et al , 2014). This paper will adopt a clearer segmentation method to increase the recognition ability of different language levels (Peng et al , 2017).…”

Section: The Proposed Green Technology Adoption Group Decision-making Approachmentioning

confidence: 99%

A study of group decision-making for green technology adoption in micro and small enterprises

Yao

Song

et al. 2020

JBIM

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Purpose Green technology adoption (GTA) in small and micro enterprises (SMEs) is a complex multi-attribute group decision-making issue. Conflicts of opinions can hamper the achievement of group coherence. The purpose of this paper is to solve the conflict decision-making problem in SMEs. Design/methodology/approach This paper reconstructs the GTA evaluation index system for SMEs and proposes an intragroup coordination relationship model to mitigate group decision-making conflicts based on the cloud model and social networks (GCS). The numerical characteristics of these GTA indicators are determined using fuzzy theory and cloud model. Findings It was found that establishing a trust relationship network and a conflict coordination relationship could improve the consistency of group decision-making. The degree of coordination has subtle differences with the trust relationship. Particularly, the coordination relationship has obvious influences on the decision-making results among small groups in SMEs. Originality/value The conflict coordination model can significantly improve the consistency of group decision-making in SMEs. At the same time, it discusses the differences between the level of conflict coordination and the trust propagation in the process of group decision-making.

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Cloud model based approach to group decision making with uncertain pure linguistic information

Cited by 30 publications

References 48 publications

Multiple Criteria Group Decision-Making Considering Symmetry with Regards to the Positive and Negative Ideal Solutions via the Pythagorean Normal Cloud Model for Application to Economic Decisions

Multiple Criteria Group Decision-Making Considering Symmetry with Regards to the Positive and Negative Ideal Solutions via the Pythagorean Normal Cloud Model for Application to Economic Decisions

A Practical, Integrated Multi-Criteria Decision-Making Scheme for Choosing Cloud Services in Cloud Systems

A study of group decision-making for green technology adoption in micro and small enterprises

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