Employing Fuzzy Cognitive Map for Periodontal Disease Assessment

Mago, Vijay; Papageorgiou, Elpiniki I.; Mago, Anjali

doi:10.1007/978-3-642-39739-4_20

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…Bueno and Salmeron (2009) state that the λ should be determined by empiric testing. For Mago et al (2014), a λ = 0.7 provided results with good convergence speed and better interpretability. In the present study, a value of λ = 0.6 was defined for activating the FCM system (Kang et al, 2016).…”

Section: Step 2: System Activationmentioning

confidence: 97%

Relations between supply chain performance and circular economy implementation: A fuzzy cognitive map‐based analysis for sustainable development

Zanon,

Bertassini,

Sigahi

et al. 2024

Bus Strat Dev

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Supply chain sustainability is now an imperative, particularly considering the circular supply chain (CSC) paradigm, which offers opportunities for performance improvement. Thus, it is possible to infer that there is a causal link between circularity and supply chain performance. However, the analysis of this relationship occurs under subjective perspectives. To computationally process human language can overcome this issue. Hence, this paper aims to propose an approach for assessing the influence of circular economy (CE) implementation principles on supply chain performance using the fuzzy cognitive map (FCM), a well‐established soft computing technique. The study develops a computational model and brings an illustrative application. Methodologically, is model‐based, quantitative, axiomatic and descriptive. It contributes by providing means to support the formulation of strategies for aligning CE implementation efforts with supply chain performance improvement efforts. The FCM visually represents how supply chain performance attributes are influenced by CE principles, supporting informed decision‐making towards circularity.

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Section: Step 2: System Activationmentioning

confidence: 97%

Relations between supply chain performance and circular economy implementation: A fuzzy cognitive map‐based analysis for sustainable development

Zanon,

Bertassini,

Sigahi

et al. 2024

Bus Strat Dev

View full text Add to dashboard Cite

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Combining grey clustering and fuzzy grey cognitive maps: an approach to group decision-making on cause-and-effect relationships

Zanon

Carpinetti

2021

Soft Comput

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Fuzzy grey cognitive maps (FGCMs) have been widely adopted to support cause-and-effect decision-making under uncertainty. However, capturing the information for the initial state vector and the relationship matrix from various specialists can be cumbersome, which may affect the convergence of FGCMs or cause them to reach a chaotic state. To address this issue, this paper presents a novel group decision approach based on the combination of grey clustering (GC) and fuzzy grey cognitive maps for assessing causal relationships in uncertain environments. The main contribution consists in applying GC as a mean to obtain the initial state vector from the relationship matrix data. This halves the required inputs to the users, reducing uncertainty in the computational model. Also, the proposition brings a method for aggregating the linguistic judgements of multiple decision-makers when assessing causal relationships. The proposition also differs from others in the literature by providing results with lower imprecision levels, named greyness, and lower number of required iterations for the FGCM-based system to converge. A real application was conducted in a technology start-up to test the approach to practical implications. Results allowed the identification of important elements regarding the company's profile and performance, aiding prioritization and enabling the development of action plans. This paper also includes a comparison of other representative models with the proposed approach, which led to more accurate results. Hence, this study addresses the need for new alternatives to improve the reliability and convergence of FGCM-based systems. Finally, suggestions for future applications are proposed.

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Organizational culture’s influence on supply chain performance analysis with fuzzy grey cognitive maps

Zanon,

Sigahi,

Anholon

et al. 2024

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PurposeThis paper applies fuzzy grey cognitive maps (FGCM) to support multicriteria group decision making (GDM) on supply chain performance (SCP) considering the role of organizational culture as a moderating factor.Design/methodology/approachThis paper follows the quantitative axiomatic prescriptive model-based research. It introduces a MGDM model that relies on the SCOR® model performance attributes and Hofstede’s cultural dimensions. The proposal is underpinned by the soft computing technique of FGCM, aimed at addressing the inherent subjectivity associated with evaluating the culture-performance relationship within supply chains.FindingsThe FGCM-based model proposes a management matrix tool for supporting SPC management. It results in a graphical representation that deconstructs SCP and organizational culture into key elements and provides directives for action plans that align improvement efforts. An illustrative application is presented to guide and promote the model’s application in different configurations of supply chains.Practical implicationsThis model offers valuable insights into addressing the impact of organizational culture on decision-making related to SCP. Additionally, it facilitates scenario simulation. The management matrix visually illustrates how each performance attribute is influenced by each cultural dimension on a quantitative scale. It also ranks these attributes based on the overall level of influence they receive from culture.Originality/valueThe study provides a unique outlook on the use of FGCMs to support the SCP decisional process by detailing and accounting for the influence of organizational culture. This is done through the development of a novel matrix that allows for visual management and benchmarking.

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Employing Fuzzy Cognitive Map for Periodontal Disease Assessment

Cited by 4 publications

References 23 publications

Relations between supply chain performance and circular economy implementation: A fuzzy cognitive map‐based analysis for sustainable development

Relations between supply chain performance and circular economy implementation: A fuzzy cognitive map‐based analysis for sustainable development

Combining grey clustering and fuzzy grey cognitive maps: an approach to group decision-making on cause-and-effect relationships

Organizational culture’s influence on supply chain performance analysis with fuzzy grey cognitive maps

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