Application progress of grey model technology in agricultural science

Li, Bingjun; Zhang, Shuhua; Li, Wenyan; Zhang, Yifan

doi:10.1108/gs-05-2022-0045

Cited by 8 publications

(8 citation statements)

References 60 publications

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“…As a result, the different (1,1) models have been used in a wide range of fields including agriculture (e.g. Li et al, 2022), tourism (Dang et al, 2020), energy (Javed and Cudjoe, 2022) and management (Ikram et al, 2021). Additional improvements in the discipline have led to the development of Grey (1,N) models.…”

Section: Grey Modelsmentioning

confidence: 99%

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Forecasting the diffusion of ISO/IEC 27001: a Grey model approach

Podrecca

Sartor

2023

TQM

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PurposeThe aim of this paper is to present the first diffusion analysis of ISO/IEC 27001, the fourth most popular ISO certification at global level and the most important standard for information security.Design/methodology/approachTo achieve the purposes, the authors applied Grey Models (GM) – Even GM (1,1), Even GM (1,1,α,θ), Discrete GM (1,1), Discrete GM (1,1,α) – complemented by the relative growth rate and the doubling time indexes on the six most important countries in terms of issued certificates.FindingsResults show that a growing trend is likely to be expected in the years to come and that China will lead at country level.Originality/valueThe study contributes to the scientific debate by presenting the first diffusive analysis of ISO/IEC 27001 and by proposing a forecasting approach that to date has found little application in the field of international standards.

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Section: Grey Modelsmentioning

confidence: 99%

“…As a result, the different (1,1) models have been used in a wide range of fields including agriculture (e.g. Li et al. , 2022), tourism (Dang et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Forecasting the diffusion of ISO/IEC 27001: a Grey model approach

Podrecca

Sartor

2023

TQM

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“…It stands out in handling situations with inadequate information and dealing with uncertain problems Hu and Liu, 2022;Liu et al, 2022a, b;Tao et al, 2022). The grey clustering model is one of the evaluation methods and has a wide range of applications (Delcea et al, 2022;He et al, 2022;Karimi and Yahyazade, 2022;Li et al, 2022;Luo et al, 2022;Liu et al, 2022a, b) In this stage, a grey clustering model based on mixed end-point possibility function is applied to evaluate the quality risk of systems. This model is suitable for various types of problems with clear boundaries, but points that are most likely to belong to each gray class are not clear (Liu et al, 2015).…”

Section: Stage 1: Establish Phfs-qfd Platform To Identify Quality Ris...mentioning

confidence: 99%

A novel quality risk evaluation framework for complex equipment development integrating PHFS-QFD and grey clustering

Wang,

Wang

et al. 2023

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PurposeThe purpose of this research is to provide a theoretical framework for complex equipment quality risk evaluation. The primary aim of the framework is to enhance the ability to identify risks and improve risk control efficiency during the development phase.Design/methodology/approachA novel framework for quality risk evaluation in complex equipment is proposed, which integrates probabilistic hesitant fuzzy set-quality function deployment (PHFS-QFD) and grey clustering. PHFS-QFD is applied to identify the quality risk factors, and grey clustering is used to evaluate quality risks in cases of poor quality information during the development stage. The unfolding function of QFD is applied to simplify complex evaluation problems.FindingsThe methodology presents an innovative approach to quality risk evaluation for complex equipment development. The case analysis demonstrates that this method can efficiently evaluate the quality risks for aircraft development and systematically trace back the risk factors through hierarchical relationships. In comparison to traditional failure mode and effects analysis methods for quality risk assessment, this approach exhibits superior effectiveness and reliability in managing quality risks for complex equipment development.Originality/valueThis study contributes to the field by introducing a novel theoretical framework that combines PHFS-QFD and grey clustering. The integration of these approaches significantly improves the quality risk evaluation process for complex equipment development, overcoming challenges related to data scarcity and simplifying the assessment of intricate systems.

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“…Given the prevalence of uncertain systems with small samples and limited information worldwide, GS 14,1 this method proves highly effective and widely applicable (Liu et al, 2022b;Prakash et al, 2023). Thus, as argued by Li et al (2022), the emergence and development of grey systems theory has caused innovation and progress across several research areas, including engineering Tao et al, 2022), management, sustainable development (Hu and Liu, 2022), agricultural science (Li et al, 2022) and many others.…”

Section: Use Of Ahp and Grey Fixed Weight Clusteringmentioning

confidence: 99%

Use of AHP and grey fixed weight clustering to assess the maturity level of strategic communication management in Brazilian startups

Timóteo,

Cazeri,

Moraes

et al. 2023

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PurposeThe aim of this research was to evaluate the maturity level of strategic communication management implemented by Brazilian startups.Design/methodology/approachThis study employed the analytic hierarchy process (AHP), survey and Grey Fixed Weight Clustering modeling techniques. Three experts with extensive academic and practical experience in the subject participated in the AHP process, providing their opinions on the relative importance of eight variables associated with the topic under investigation, thus enabling their prioritization. Concurrently, data were collected through a survey from 23 respondents who have extensive knowledge about the realities of Brazilian startups. The weights derived from the AHP and the survey data were utilized in the Grey Fixed Weight Clustering modeling.FindingsBased on the opinions of the 23 respondents, the level of implementation of practices related to strategic management, brand management, external image management and internal communication management is superficial. In addition, according to the majority of experts, Brazilian startups exhibited a medium level of maturity to address the key challenges related to communication management. Furthermore, this study reveals that the variables “financial resources allocation,” “stakeholder relationship” and “brand management” were deemed the most significant for the model.Originality/valueThe contributions presented herein can be beneficial for both researchers and startup managers seeking to enhance communication strategies in their organizations. This research also contributes by highlighting how grey systems theory can be extremely useful for conducting decision-making analyses in the context of startups, which is characterized by uncertainty and imprecise information.

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Application progress of grey model technology in agricultural science

Cited by 8 publications

References 60 publications

Forecasting the diffusion of ISO/IEC 27001: a Grey model approach

Forecasting the diffusion of ISO/IEC 27001: a Grey model approach

A novel quality risk evaluation framework for complex equipment development integrating PHFS-QFD and grey clustering

Use of AHP and grey fixed weight clustering to assess the maturity level of strategic communication management in Brazilian startups

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