A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for İstanbul

2020 ◽  
Vol 27 (29) ◽  
pp. 36109-36120 ◽  
Author(s):  
Ertugrul Ayyildiz ◽  
Alev Taskin Gumus
Keyword(s):  
Fuzzy Ahp ◽  
Selection Problem ◽  
Real Case ◽  
Location Selection ◽  
Petrol Station ◽  
Station Location

scholarly journals Search and rescue station location selection and conceptual design: a case study of western region of Indonesia

2021 ◽  
Vol 649 (1) ◽  
pp. 012069
Author(s):  
F Hadi ◽  
H I Nur ◽  
N K P Maharani ◽  
C B S Permana ◽  
I G N S Buana ◽  
...  
Keyword(s):  
Conceptual Design ◽  
Search And Rescue ◽  
Western Region ◽  
Location Selection ◽  
Station Location

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.

scholarly journals Integration of Fuzzy AHP and Fuzzy GTMA for Location Selection of Gas Pressure Reducing Stations: A Case Study

2012 ◽  
Vol 4 (3) ◽  
Author(s):  
Ahmad Jafarnejad Chaghooshi ◽  
Hossein Safari ◽  
Mohammad Reza Fathi
Keyword(s):  
Fuzzy Ahp ◽  
Gas Pressure ◽  
Location Selection ◽  
Selection Of

Optimization Model for Fire Station Location Based on GIS and Python: A Case Study in North Cyprus

2013 ◽  
Vol 330 ◽  
pp. 1059-1064 ◽  
Author(s):  
Mahdi Kazemi ◽  
Mehmet M. Kunt ◽  
Iman Aghayan ◽  
Reza Jalali Larijani
Keyword(s):  
Selection Process ◽  
Service Area ◽  
Location Selection ◽  
Fire Station ◽  
Service Areas ◽  
Fire Stations ◽  
Python Programming ◽  
Station Location ◽  
Service Location

In this paper, the location selection process related to fire stations in Famagusta city is enhanced by applying Quantum Geographic Information Systems (QGIS) and Python programming language. This procedure leads to obtaining the optimum emergency service location based on the minimization of response time. This study aims to commence service coverage modeling in a consistent demand region, with road availability considerations. In addition, this study focuses on the capability of GIS to create service areas by means of the travel time regions in a facility location model. Another purpose of this research is to maximize the overall service area of the determined number of facilities and to state the capability of GIS for establishing the suitable service areas of fire stations in Famagusta city so as to achievie a maximal overall service area from a specific fire station facility to other locations. The best location for only one fire station is determined which is placed around the signalized intersection joining Mustafa Kemal Boulevard and Topçular Boulevard in Famagusta (node 230).

A fuzzy AHP based decision support system for disaster center location selection and a case study for Istanbul

2011 ◽  
Vol 20 (5) ◽  
pp. 499-520 ◽  
Author(s):  
Banu Tuğba Turğut ◽  
Gamze Taş ◽  
Ahmet Herekoğlu ◽  
Hakan Tozan ◽  
Ozalp Vayvay
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Ahp ◽  
Location Selection ◽  
Center Location

An Integrated Fuzzy Multi-Criteria Approach for E-Waste Collection Center Location Problem

2021 ◽  
Vol 10 (2) ◽  
pp. 21-38
Author(s):  
Hür Bersam Bolat ◽  
İrem Otay ◽  
Gül Tekin Temur ◽  
Şükrü İmre
Keyword(s):  
Fuzzy Ahp ◽  
Waste Recycling ◽  
Waste Collection ◽  
Location Selection ◽  
Recycling Industry ◽  
Center Location ◽  
Hierarchy Process ◽  
Selection Of

Selection of locations for collecting end of life goods is a multi-dimensional problem. In this study, the objective is to propose a hybrid multi-criteria decision model for e-waste collection center location selection problem employing an integrated Pythagorean fuzzy AHP (analytical hierarchy process)-VIKOR (multi-criteria optimization and compromise solution) methodology. A case study from Turkish e-waste recycling industry is conducted in order to verify the success of the proposed methodology. Thirty-nine alternative collection center districts are evaluated and ranked by employing Pythagorean fuzzy VIKOR based on “cost, logistics, environment, socio-culture, and population” and 11 sub-criteria. The study involves 39 e-waste collection location centers, and the model was solved for 50 times for 10 scenarios for each criterion. The results of sensitivity analysis indicate that the evaluation of criteria and determination of their weights have critical effects on the results.

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