Minimizing environmental risks using fuzzy TOPSIS: Location selection for ITU faculty of management

2013 ◽  
pp. 195-202
Keyword(s):  
Fuzzy Topsis ◽  
Environmental Risks ◽  
Location Selection ◽  
Selection For

Communities ready for takeoff

2017 ◽  
Vol 36 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Sanne A. M. Rijkhoff ◽  
Season A. Hoard ◽  
Michael J. Gaffney ◽  
Paul M. Smith
Keyword(s):  
Site Selection ◽  
Science Literature ◽  
Location Selection ◽  
Community Assets ◽  
Selection Decisions ◽  
The Social ◽  
Selection For ◽  
Insight Into ◽  
New Infrastructure ◽  
Take All

Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-selection decisions. This framework is applied to the Northwest Advanced Renewables Alliance project to assess community suitability for biofuel-related developments. This framework is the first to take all necessary community assets into account, providing insight into successful site selection beyond current models. The framework not only serves as a model for future biorefinery projects but also guides tasks that depend on informed location selection for success.

Warehouse Vis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts

2020 ◽  
Vol 39 (3) ◽  
pp. 483-495
Author(s):  
Q. Li ◽  
Q. Q. Liu ◽  
C. F. Tang ◽  
Z. W. Li ◽  
S. C. Wei ◽  
...  
Keyword(s):  
Visual Analytics ◽  
Location Selection ◽  
Warehouse Location ◽  
Selection For

Shipyard location selection based on fuzzy AHP and TOPSIS

2020 ◽  
Vol 39 (3) ◽  
pp. 4557-4576
Author(s):  
Abdullah Türk ◽  
Murat Özkök
Keyword(s):  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Complex Problem ◽  
Location Selection ◽  
Qualitative And Quantitative ◽  
Uncertain Structure ◽  
Multi Attribute Decision Making ◽  
Hierarchy Process ◽  
Critical Process

The shipyard facility location selection (FLS) decision is a critical process that involves conflicting, qualitative, and quantitative criteria. Multi-Attribute Decision Making (MADM) methods are used as a powerful tool to overcome this complex problem. Today, using these methods in an integrated way, more accurate, efficient, and systematic results are obtained in solving complex issues such as FLS, which contains an uncertain structure. This paper proposes a framework for the weighting of criteria and ranking potential feasible locations (alternatives) using the combination of fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) methods. While fuzzy AHP determines the importance values of the criteria by pairwise comparisons, fuzzy TOPSIS prioritizes the alternatives using the relative weights obtained with Fuzzy AHP. The integration of these two techniques provides a robust approach considering the results obtained for the shipyard FLS decision. The applicability of the proposed method is expressed in Turkey by a case study of the shipyard FLS decision.

Decision making under uncertainty using PEES–fuzzy AHP–fuzzy TOPSIS methodology for landfill location selection

2016 ◽  
Vol 36 (4) ◽  
pp. 351-367 ◽  
Author(s):  
Mohamed Hanine ◽  
Omar Boutkhoum ◽  
Abderrafie El Maknissi ◽  
Abdessadek Tikniouine ◽  
Tarik Agouti
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Making Under Uncertainty ◽  
Location Selection
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