Implementation of Clean Hospital Strategy and Prioritizing Covid-19 Prevention Factors Using Best-Worst Method

2021 ◽  
pp. 1-11
Author(s):  
Bahareh Ahmadinejad ◽  
Amir Shabani ◽  
Alireza Jalali
Keyword(s):  
Hospital Strategy ◽  
Best Worst Method

Offshore wind farm site selection using interval rough numbers based Best Worst Method and MARCOS

2021 ◽  
pp. 107532
Author(s):  
Muhammet Deveci ◽  
Ender Özcan ◽  
Robert John ◽  
Dragan Pamucar ◽  
Himmet Karaman
Keyword(s):  
Site Selection ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Best Worst Method

scholarly journals A Numerical Comparison of the Sensitivity of the Geometric Mean Method, Eigenvalue Method, and Best–Worst Method

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 554
Author(s):  
Jiří Mazurek ◽  
Radomír Perzina ◽  
Jaroslav Ramík ◽  
David Bartl
Keyword(s):  
Research Method ◽  
Geometric Mean ◽  
Pairwise Comparisons ◽  
Numerical Comparison ◽  
Priority Vector ◽  
Eigenvalue Method ◽  
Fundamental Scale ◽  
Matrix Vector ◽  
Best Worst Method ◽  
Order Violation

In this paper, we compare three methods for deriving a priority vector in the theoretical framework of pairwise comparisons—the Geometric Mean Method (GMM), Eigenvalue Method (EVM) and Best–Worst Method (BWM)—with respect to two features: sensitivity and order violation. As the research method, we apply One-Factor-At-a-Time (OFAT) sensitivity analysis via Monte Carlo simulations; the number of compared objects ranges from 3 to 8, and the comparison scale coincides with Saaty’s fundamental scale from 1 to 9 with reciprocals. Our findings suggest that the BWM is, on average, significantly more sensitive statistically (and thus less robust) and more susceptible to order violation than the GMM and EVM for every examined matrix (vector) size, even after adjustment for the different numbers of pairwise comparisons required by each method. On the other hand, differences in sensitivity and order violation between the GMM and EMM were found to be mostly statistically insignificant.

scholarly journals Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

2021 ◽  
Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Programming Model ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Decision Making Models ◽  
Best Worst Method

AbstractHesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.

An interval type-2 hesitant fuzzy best-worst method

2021 ◽  
pp. 1-28
Author(s):  
Ashraf Norouzi ◽  
Hossein Razavi hajiagha
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Ahp ◽  
Uncertain Data ◽  
Interval Type ◽  
Best Worst Method

Multi criteria decision-making problems are usually encounter implicit, vague and uncertain data. Interval type-2 fuzzy sets (IT2FS) are widely used to develop various MCDM techniques especially for cases with uncertain linguistic approximation. However, there are few researches that extend IT2FS-based MCDM techniques into qualitative and group decision-making environment. The present study aims to adopt a combination of hesitant and interval type-2 fuzzy sets to develop an extension of Best-Worst method (BWM). The proposed approach provides a flexible and convenient way to depict the experts’ hesitant opinions especially in group decision-making context through a straightforward procedure. The proposed approach is called IT2HF-BWM. Some numerical case studies from literature have been used to provide illustrations about the feasibility and effectiveness of our proposed approach. Besides, a comparative analysis with an interval type-2 fuzzy AHP is carried out to evaluate the results of our proposed approach. In each case, the consistency ratio was calculated to determine the reliability of results. The findings imply that the proposed approach not only provides acceptable results but also outperforms the traditional BWM and its type-1 fuzzy extension.

scholarly journals Autonomous ships for container shipping in the Arctic routes

2021 ◽  
Author(s):  
Ziaul Haque Munim ◽  
Rana Saha ◽  
Halvor Schøyen ◽  
Adolf K. Y. Ng ◽  
Theo E. Notteboom
Keyword(s):  
Environmental Protection ◽  
Search And Rescue ◽  
The Arctic ◽  
Multi Criteria Decision Making ◽  
Container Shipping ◽  
Foreseeable Future ◽  
Arctic Shipping ◽  
Control Centre ◽  
Autonomous Ship ◽  
Best Worst Method

AbstractThis study investigates the competitiveness of various autonomous ship categories for container shipping in the Arctic route. We propose a multi-criteria decision-making (MCDM) framework using four ship categories as alternatives and eight criteria for competitiveness evaluation. We analyse collected data using the Best–Worst Method (BWM), one of the recently developed MCDM methods. The findings reveal that operating expenses, navigation aspects, and environmental protection are the three most important criteria for deploying autonomous ships in the Arctic route. Among the three investigated autonomous ships alternatives, the semi-autonomous ship operated from a shore control centre (SCC) is prioritized for Arctic shipping in the foreseeable future, when benchmarked against the conventional ship. The SCC-controlled semi-autonomous ship alternative is competitive in the majority of the considered criteria including operating expenses, capital expenses, navigation, ship-shore and ship–ship communication, search and rescue, and environmental protection.

Best-Worst method and Hamacher aggregation operations for intuitionistic 2-tuple linguistic sets

2021 ◽  
pp. 115088
Author(s):  
Shahzad Faizi ◽  
Wojciech Sałabun ◽  
Shoaib Nawaz ◽  
Atiq-ur-Rehman ◽  
Jarosław W. atróbski
Keyword(s):  
Best Worst Method ◽  
Aggregation Operations

scholarly journals MCDM Approach for Mitigation of Flooding Risks in Odisha (India) Based on Information Retrieval

2020 ◽  
Vol 14 (2) ◽  
pp. 77-91 ◽  
Author(s):  
Debesh Mishra ◽  
Suchismita Satapathy
Keyword(s):  
Environmental Impacts ◽  
Flood Management ◽  
Decision Processes ◽  
Successful Implementation ◽  
Ratio Analysis ◽  
Review Of Literature ◽  
Governance System ◽  
Mitigation Projects ◽  
Best Worst Method ◽  
Made In

Multi-criteria decision-making (MCDM) provides a suitable platform for groups as well as promotion of the participants' role in decision processes. This also enables the development of real participatory processes essential for the successful implementation and sustainable flood management programs. The present study contributes by applying two MCDM approaches for weighting the criteria related to the environmental impacts of flooding. Moreover, an attempt was made in this study by an extensive review of literature, and consultations with experts to identify the environmental impacts of flooding in Odisha State (India). Then, the Best Worst Method (BWM) followed by the Step-Wise Weight Assessment Ratio Analysis (SWARA) method was used to rank the environmental impacts which were considered as the risk factors. The result of this study will be useful to the governance system for an effective and proper planning, and implementation of flood mitigation projects.

Single part reconfigurable flow line design using fuzzy best worst method

OPSEARCH ◽  
2021 ◽  
Author(s):  
Gaurav Kumar ◽  
Kapil Kumar Goyal ◽  
Neel Kamal Batra ◽  
Deepika Rani
Keyword(s):  
Flow Line ◽  
Line Design ◽  
Single Part ◽  
Best Worst Method
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