scholarly journals Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

2022 ◽  
Vol 80 ◽  
pp. 103572
Author(s):  
A.S. Albahri ◽  
O.S. Albahri ◽  
A.A. Zaidan ◽  
Alhamzah Alnoor ◽  
H.A. Alsattar ◽  
...  
Keyword(s):  
Fuzzy Decision ◽  
Opinion Score

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.

Using Multicriteria Futuristic Fuzzy Decision Hierarchy in SWOT Analysis

2015 ◽  
Vol 6 (4) ◽  
pp. 38-56 ◽  
Author(s):  
Sunil Pratap Singh ◽  
Manoj Kumar Chauhan ◽  
Preetvanti Singh
Keyword(s):  
Swot Analysis ◽  
External Environment ◽  
Tourism Industry ◽  
Decision Making Process ◽  
Internal Environment ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Significant Factors

In this paper, a quantitative multicriteria futuristic fuzzy decision hierarchy (MFFDH)-based SWOT (strengths, weaknesses, opportunities and threats) analysis has been carried out to determine priorities among significant factors related to tourism's internal and external environment. In MFFDH model, the fuzzy logic is combined with analytic hierarchy process (AHP) to overcome the uncertainty in decision making process. The utilization of MFFDH with SWOT yields analytically determined priorities for the factors included in SWOT analysis and makes them more commensurable. The hybrid method has been applied in connection with a case study on tourism industry in Agra (India) and result indicates that the factors related to tourism's internal environment (strengths and weaknesses) are relatively more important than external factors (opportunities and threats). In addition, strengths group turned out to have the highest priorities while threats group have the lowest priorities.

Fuzzy decision by opinion score method

2020 ◽  
Vol 96 ◽  
pp. 106595 ◽  
Author(s):  
Mahmood M. Salih ◽  
B.B. Zaidan ◽  
A.A. Zaidan
Keyword(s):  
Fuzzy Decision ◽  
Opinion Score ◽  
Score Method
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