GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

Classifying the “ideal migrant worker”

Focaal ◽  
2010 ◽  
Vol 2010 (57) ◽  
pp. 79-94 ◽  
Author(s):  
Janet McLaughlin
Keyword(s):  
Migrant Worker ◽  
Global Capitalism ◽  
Migration Program ◽  
English Speaking ◽  
Multiple Levels ◽  
Seasonal Agricultural Workers ◽  
Seasonal Agricultural Workers Program ◽  
Selection Of ◽  
The Ideal

This article analyzes the ideology and practice of multi-unit competition that pervades neoliberal subjectivities and produces the “ideal” flexible worker within contemporary global capitalism. It demonstrates how state and capitalist interests converge to influence the selection of the ideal transnational migrant worker, how prospective migrants adapt to these expectations, and the consequences of such enactments, particularly for migrants, but also for the societies in which they live and work. Multiple levels of actors—employers, state bureaucrats, and migrants themselves—collude in producing the flexible, subaltern citizen, which includes constructions and relations of class, race, gender, and nationality/citizenship. The case study focuses on Mexican and Jamaican participants in Canada's Seasonal Agricultural Workers Program, a managed migration program that legally employs circular migrant farmworkers from Mexico and several English-speaking Caribbean countries in Canadian agriculture.

Application of Fuzzy Logic for Mapping the Agro-Ecological Zones

2015 ◽  
pp. 351-377 ◽  
Author(s):  
Bistok Hasiholan Simanjuntak ◽  
Sri Yulianto Joko Prasetyo ◽  
Kristoko Dwi Hartomo ◽  
Hindriyanto Dwi Purnomo
Keyword(s):  
Fuzzy Logic ◽  
Food Security ◽  
Agricultural Land ◽  
Farming System ◽  
Decision Makers ◽  
Land Evaluation ◽  
Ecological Zone ◽  
Ecological Zones ◽  
The Ideal

The mapping of agro-ecological zone, which is integrated with the suitability of land evaluation, will determine the ideal farming system. The ideal farming system including sustainable land management will support the food security scenario of a region. In this chapter, the implementation of fuzzy logic for mapping the agro-ecological zone is discussed. The agro-ecological zone in Boyolali is used as case study in which the mapping considers its physiographic characteristics and climate. Two physiographic characteristics are involved: slope of the land and elevation. Rainfall is used as representative of climate. The experiment results reveal that simple membership function with the Mamdani inferences system could help decision makers to classify the agricultural land in Boyolali.

Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 65-79 ◽  
Author(s):  
Shabbir Uddin ◽  
Sandeep Chakravorty ◽  
Amitava Ray ◽  
Karma Sonam Sherpa
Keyword(s):  
Site Selection ◽  
Solution Method ◽  
Assessment Method ◽  
Optimal Location ◽  
Multi Criteria Decision Making ◽  
Order Preference ◽  
Topsis Technique ◽  
Strength Of Association ◽  
Selection Of

In this article, methodologies have been proposed for site selection of sub-station considering technical and non-technical constraints. Firstly, a systematic frame has been developed considering various factors that influence the optimal location of the sub-station. Various factors considered are evaluated using DEMATEL-QFD. An evaluation has been done between the outcome of the TOPSIS (Technique for order preference by similarity to ideal solution) method and the COPRAS (Compressed Proportional Assessment) method. Finally, Spearman rank co-relation co-efficients indicates the strength of association of both the methodologies. A case study is done using GIS to prove the justification of the methodologies to the applied area. The application of the methodologies will help the decision maker improve the plan, location and grid renovation of the distribution sub-stations.

scholarly journals Case study scenarios in site selection of hazardous material facilities based on transportation preferences

2019 ◽  
Vol 27 (4) ◽  
pp. 317-333
Author(s):  
Babak Mehran ◽  
Musharraf Ahmad Khan ◽  
Mina Mehran ◽  
Hyukjae Roh ◽  
Satish Sharma
Keyword(s):  
Site Selection ◽  
Hazardous Material ◽  
Selection Of

Maximizing sustainability of existing buildings within limited upgrade budgets

2018 ◽  
Vol 45 (9) ◽  
pp. 705-716 ◽  
Author(s):  
Moatassem Abdallah ◽  
Boateng Akyeampong ◽  
Khaled El-Rayes
Keyword(s):  
Optimization Model ◽  
Present Model ◽  
Environmental Design ◽  
Decision Makers ◽  
Existing Buildings ◽  
Existing Building ◽  
Certification Programs ◽  
Green Certification ◽  
Selection Of

Existing buildings, especially aging ones, are currently in urgent need of upgrading to improve their performance and potentially achieve green certification. Building owners often need to identify and implement building upgrades that maximize the sustainability of their buildings as well as achieve green certification programs such as the Leadership in Energy and Environmental Design (LEED). This paper presents the development of an optimization model that maximizes the number of earned LEED points for existing buildings within a specified upgrade budget. A case study of an existing building is used to demonstrate the use of the optimization model and illustrate its capabilities. This research presents new methodology for optimizing the selection of building upgrades to maximize the sustainability of existing buildings and achieve green certification within limited budgets. The present model is expected to support decision-makers, building owners and operators, building managers, and contractors to optimize the use of their upgrade budgets and maximize sustainability of their buildings.

Airstrip Site Selection in Coastal Labrador

1981 ◽  
Vol 35 (1) ◽  
pp. 17-25
Author(s):  
J. D. Innes ◽  
E. H. Smith ◽  
Allan Fiander
Keyword(s):  
Site Selection ◽  
Coastal Area ◽  
State Of The Art ◽  
Selection Process ◽  
Geometric Design ◽  
Digital Mapping ◽  
Data Requirements ◽  
Selection Of ◽  
Design Techniques

This paper examines a case study of the selection of nine airstrip sites in the coastal area of Labrador. The procedure used involved the procurement of better mapping for the site selection process. The benefits of this process are examined in the context of the data requirements for good airstrip selection. The site selection process is then examined utilizing state of the art digital mapping and computerized geometric design techniques.

An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs

2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Managerial Decision ◽  
Erp System ◽  
Intuitionistic Fuzzy ◽  
Decision Making Problem ◽  
Fuzzy Preference Relations ◽  
Priority Method ◽  
Selection Of

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.

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