Apply Fuzzy DEMATEL to Explore the Decisive Factors of the Auto Lighting Aftermarket Industry in Taiwan

Li, Jing; Wu, Chi-Hui; Chen, Chien-Wen; Huang, Yi‐Fen; Lin, Chii-Jeng

doi:10.3390/math8071187

Cited by 11 publications

(9 citation statements)

References 38 publications

(51 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature, the DEMATEL technique has been adopted by researchers to analyze the interrelationships among system elements in various fields [40]. For instance, Tsai [41] utilized the fuzzy DEMATEL method to identify key success factors of the auto lighting aftermarket industry. Ding and Liu [42] presented a two-dimensional uncertain linguistic DEMATEL model to find significant success factors in emergency management.…”

Section: The Dematel Methodsmentioning

confidence: 99%

An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management

et al. 2020

View full text Add to dashboard Cite

University performance has an important effect on the social influence of universities. With increasing emphasis placed on higher education, it is important to improve and optimize university performance management. However, the performance of university management is affected by numerous indicators in practice, and it is difficult for administrators to optimize all of them because of resource restriction. To address this concern, in this paper, we design a novel integrated model by combining linguistic hesitant fuzzy sets (LHFSs) with the decision-making trial and evaluation laboratory (DEMATEL) method to identify key performance indicators (KPIs) for improving the level of university performance management. Specifically, the LHFSs are utilized to express the hesitant and vague interrelationship assessment of performance indicators provided by experts. A modified DEMATEL is adopted to visualize the causal relationship between performance indicators and determine critical ones. Moreover, we introduce a gray relation analysis (GRA)-based method to derive experts’ weights when their weight information is unknown. Finally, a comprehensive university in Shanghai, China, is employed as an example to illustrate the practicability and availability of the proposed linguistic hesitant fuzzy DEMATEL model

show abstract

Section: The Dematel Methodsmentioning

confidence: 99%

An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management

et al. 2020

View full text Add to dashboard Cite

show abstract

“…From Table 7 and Figure 2, the top three causes are C14 (repudiation of contract), C2 (lack of expertise and experience), and C4 (unreasonable risk allocation) in terms of centrality (F + E). The more value of centrality, the more decisive the cause is because centrality depicts the prominence or importance degree of each cause [65]. Considering the overall influencing degrees (F) and influenced degrees (E), these three causes have the greatest impact on PPP disputes in China.…”

Section: Analysis Of Centralitymentioning

confidence: 99%

Understanding the Decisive Causes of PPP Project Disputes in China

et al. 2021

View full text Add to dashboard Cite

Disputes are inevitable in public-private partnership (PPP) projects and generate great losses of time and money in practice. If an in-depth understanding of dispute sources can be obtained beforehand, the process of PPP may become more smooth. This paper aims to identify and assess the causes of PPP disputes between the public and private sectors. First, 15 causes are explored based on the PPP litigation cases from China Judgments Online. Second, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is utilized to provide a holistic understanding of the relative importance and define the cause-effect categories among PPP dispute sources. The results demonstrate that the top three decisive causes of PPP disputes are the repudiation of contracts (result category), lack of expertise and experience (reason category), and unreasonable risk allocation (result category). Further, dispute avoiding strategies are proposed to minimize or completely avoid the occurrence of PPP disputes. The outputs are expected to add meaningful insights to potential sources of dispute and dispute prevention mechanisms in PPPs. To some extent, the investors can develop strategic measures through the findings before entering into PPP markets.

show abstract

“…In the next step, the defuzzified total influence matrix is generated with the help of Equations 13 to 21 (Li et al, 2020b):…”

Section: Fuzzy Dematelmentioning

confidence: 99%

Identifying the Strategic Priorities of the Technical Factors for the Sustainable Low Carbon Industry Based on Macroeconomic Conditions

Shang

Yüksel

et al. 2021

SAGE Open

View full text Add to dashboard Cite

This study aims to find out the strategic priorities of the technical factors to have sustainable low carbon industry. For this purpose, a hybrid multi-criteria decision-making (MCDM) is proposed that contains three different stages. First, the economic criteria required for sustainable development and the technical needs of the low carbon industry are defined by making a comprehensive literature review. After that, economic criteria are weighted by using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology. Finally, technical factors are ranked with the help of the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach. Moreover, another analysis is also performed by considering fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate the consistency of the analysis results. The main motivation of this study is to define the primary technical factors to minimize carbon emission problem by proposing a hybrid MCDM model. The findings indicate that research and development for renewable sources has the greatest importance for low-carbon industry. In addition, the analysis results of fuzzy TOPSIS and fuzzy VIKOR are quite similar. This situation demonstrates the consistency and coherency of the ranking results. Hence, it is recommended that countries should mainly give importance to the research and development investments so that the costs of renewable energy problems can be minimized. This situation can attract the attentions of the companies to invest in these projects. In this way, it will be possible to use a cleaner energy in industrial production.

show abstract

Apply Fuzzy DEMATEL to Explore the Decisive Factors of the Auto Lighting Aftermarket Industry in Taiwan

Cited by 11 publications

References 38 publications

An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management

An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management

Understanding the Decisive Causes of PPP Project Disputes in China

Identifying the Strategic Priorities of the Technical Factors for the Sustainable Low Carbon Industry Based on Macroeconomic Conditions

Contact Info

Product

Resources

About