scholarly journals Detailed Sponge City Planning Based on Hierarchical Fuzzy Decision-Making: A Case Study on Yangchen Lake

Water ◽  
2017 ◽  
Vol 9 (11) ◽  
pp. 903 ◽  
Author(s):  
Junyu Zhang ◽  
Dafang Fu ◽  
Yajun Wang ◽  
Rajendra Singh
Keyword(s):  
Decision Making ◽  
City Planning ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Sponge City

Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S Vinodh ◽  
Vishal Ashok Wankhede
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Skills Training ◽  
Fuzzy Decision Making ◽  
System Modelling ◽  
Fuzzy Decision ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Modern Manufacturing

PurposeThe aim of this study is to analyze workforce attributes related to Industry 4.0 using fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy combinative distance-based assessment (CODAS).Design/methodology/approachTechnological trends stipulate various revolution in industries. Industry 4.0 is a vital challenge for modern manufacturing industries. Workforce adoption to such challenge is gaining vital importance. Therefore, such workforce-related attributes need to be identified for enhancing their performance in Industry 4.0 environment. In this context, this article highlights the analysis of 20 workforce attributes for Industry 4.0. Relevant criteria are prioritized using fuzzy DEMATEL. Workforce attributes are prioritized using fuzzy CODAS.FindingsThe key attributes are “Skills/training in decision-making (WA2)”, “Competences in complex system modelling and simulation (WA1)” and “Coding skills (WA20)”.Research limitations/implicationsIn the present study, 20 workforce attributes are being considered. In future, additional workforce attributes could be considered.Practical implicationsThe study has been conducted based on inputs from industry experts. Hence, the inferences have practical relevance.Originality/valueThe analysis of workforce attributes for Industry 4.0 using MCDM methods is the original contribution of the authors.

Hybrid fuzzy decision making approach for wind-powered pumped storage power plant site selection: A case study

2020 ◽  
Vol 42 ◽  
pp. 100838
Author(s):  
Sayyed Hamid Reza Ahmadi ◽  
Younes Noorollahi ◽  
Sasan Ghanbari ◽  
Morteza Ebrahimi ◽  
Hossein Hosseini ◽  
...  
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Site Selection ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Plant Site ◽  
Pumped Storage

scholarly journals Exploring Green Marketing Orientations toward Sustainability the Hospitality Industry in the COVID-19 Pandemic

2021 ◽  
Vol 13 (8) ◽  
pp. 4348
Author(s):  
Chun-Yi Ho ◽  
Bi-Huei Tsai ◽  
Chiao-Shan Chen ◽  
Ming-Tsang Lu
Keyword(s):  
Decision Making ◽  
Hospitality Industry ◽  
Multiple Criteria Decision Making ◽  
Green Marketing ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Fuzzy Dematel ◽  
Brand Orientation ◽  
Environmental Orientation

The effects of green marketing orientations for increasing the competitive advantage and improving the sustainability of the hospitality industry during the COVID-19 pandemic are receiving more attention. As the hospitality industry attempts to assimilate green marketing and move in the path of sustainable development, administrators need to expand their efforts for improving natural environmental orientation (NEO), market orientation, resource orientation, and brand orientation by applying their green marketing orientations to hospitality’s strategies during the COVID-19 pandemic. Only few studies have examined the improvement of green marketing orientations. The objective of the research is to address this issue, applying the methods of fuzzy mixture MCDM (multiple criteria decision-making), with fuzzy decision-making trials and an evaluation laboratory (DEMATEL), and fuzzy DEMATEL-based ANP (fuzzy DANP) to inspect the feedback and interdependent issues among numerous elements/dimensions of green marketing orientations. In an uncertain environment, an empirical case study of the hospitality industry is shown to demonstrate the recommended combined approaches and, finally, to state the best enhancement approaches for administrators. This result shows that the natural environmental orientation is the most important factor.

scholarly journals Multi-Criteria Decision-Making Methods in Fuzzy Decision Problems: A Case Study in the Frozen Shrimp Industry

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 370
Author(s):  
Chia-Nan Wang ◽  
Van Thanh Nguyen ◽  
Jui-Chung Kao ◽  
Chih-Cheng Chen ◽  
Viet Tinh Nguyen
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Raw Material ◽  
Fuzzy Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Decision ◽  
Shrimp Industry ◽  
Frozen Shrimp ◽  
Raw Shrimp

The European Union (EU) is the largest shrimp consumer market in the world in terms of requirements for shrimp product imports. Therefore, other enterprises that export frozen shrimp to the EU must consider many criteria when choosing suppliers of raw shrimp. The difficulty of choosing suppliers of raw shrimp makes selecting raw material suppliers in the fisheries sector a multi-criteria decision-making problem. In such problems, the decision makers must review and evaluate many criteria—including qualitative and quantitative factors—to achieve an optimal result. While there have been multiple multi-criteria decision making models developed to support supplier selection processes in different industries, none of these have been developed to solve the particular problems facing the shrimp industry, especially as it concerns a fuzzy decision-making environment. In this research, the authors propose a Multi-Criteria Decision Making model (MCDM) including the Fuzzy Analytical Network Process (FANP) and Weighted Aggregated Sum Product Assessment (WASPAS) for the evaluation and selection process of shrimp suppliers in the fisheries industry. The model is applied to a real-world case study and the results show that Supplier 3 (SA3) is the most optimal supplier of raw shrimp. The contribution of this work is the employment of FANP and WASPAS to propose an MCDM for ranking potential suppliers in the fisheries industry in a fuzzy environment. The proposed approach can also be modified to support complex decision-making processes in fuzzy environments in different industries.

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