scholarly journals Selecting optimum railway track using GIS techniques

2018 ◽  
Vol 162 ◽  
pp. 03018 ◽  
Author(s):  
Amjed Al-Hameedawi ◽  
Mohammed Salih ◽  
Haidar Mohammed ◽  
Maher Hassan
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Site Selection ◽  
Spatial Model ◽  
Selection Criteria ◽  
Railway Track ◽  
Know How ◽  
Suitable Location ◽  
Selection Of

This paper mainly aims at analysing and selecting the best railway route within the Karbala City. The significance of having suitable locations for railway route is recognized as a crucial element in the pursuit to improve the quality of public transport in general. This paper uses technique based on bridging the gap between all the criteria to determine suitable location for the railway. It was also intended to organize non-spatial data for describing the process. The site selection of railway is the process of finding locations that meet the desired conditions set by the selection criteria. For this issue a professional know-how to deal with data depending on multi criteria is necessary to achieve of the task of decision making. Due to the tangle of the issue, a special effort must be done, to have a good usefulness of site selection. The results of spatial model in this paper shows the best railway track is (Karbala-ALhindya).

scholarly journals Validity of using of GIS, SDI, Remote Sensing and Environmental factors for site selection of zones of coffee agriculture localization suitability modeling in Maraba sector, south province of Rwanda

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Jean Pierre Hitimana
Keyword(s):  
Remote Sensing ◽  
Environmental Factors ◽  
Spatial Data ◽  
Site Selection ◽  
Research Method ◽  
Coffee Plantation ◽  
Data Infrastructure ◽  
The Public ◽  
Selection Of

<p><strong>Abstract.</strong> In these last recent years farmers in the sector of Maraba in South Province of Rwanda had face challenges to keep producing good quality coffee and to be the 1st place in competition of cup of Excellence. We conducted this research in order to show how the use of Geographic Information Systems (GIS) and Spatial Data Infrastructure (SDI) models as the research method for growing and producing good quality coffee in taking into consideration environmental factors like: Elevation and temperature, Rainfall and water supply, Soil, Aspect and slopes.</p><p>The findings in this research about the selection of zones of coffee plantation and relation relationship to coffee quality will be published on Geo-Portal where maps and metadata created or collected will be available to the public and particularly to Maraba sector community.</p><p>The results of this research will be presented to Maraba sector community in a workshop so that they can gain knowledge of the land and the good quality of Maraba coffee.</p>

Decision-Making Model for Convention Site Selection

2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Political Conflict ◽  
Decision Makers ◽  
City Image ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Decision Making Model ◽  
Hierarchy Process

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.

scholarly journals Evaluating COVID-19 Vaccination Website using DISCERN and QUality Evaluation Scoring (QUEST) Tools

2021 ◽  
Author(s):  
Akash Gajanan Prabhune ◽  
Aishwarya Mallavaram ◽  
Sachin Bhat ◽  
Samridhi Pandey ◽  
Ayesha Mehar Shagufta ◽  
...  
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Ease Of Use ◽  
Average Score ◽  
Quality Of Information ◽  
Member States ◽  
Critical Information ◽  
Minor Elements ◽  
Selection Of

Abstract Background: The objective of this paper was to evaluate the COVID-19 vaccine registration website across UN-recognized member states for their portal quality, reliability, Ease Use and help to the general population in informed decision making.Methods: 12 UN member states (Countries) were selected based on the inclusion and exclusion criteria mentioned in the methodology section of this paper. PPS technique was used for sampling and selection of 12 countries from 193 UN member states. Post selection of UN member states the study used 2 step evaluation techniques, Step 1 The DISCERN checklist consists of 16 questions in three sections and is aimed to assess the reliability of information and quality of information; Step 2 The QUEST tool consists of 6 items with a subitem, Authorship, Attribution, Conflict of Interest, Complementarity, Currency, Tone. The authors developed a standard set of instructions for evaluating Vaccination Portals to bring uniformity in understanding and context setting.Results: DISCERN tool overall reliability score on the Likert scale of 0 to 5 was 4 (SD ± 1.28). On Quality of information regarding treatment choices, the average score was 3.4 (SD ± 1.67). The QUEST tool on ease of use, concision, and comprehensiveness demonstrated an average score of 18.1 (SD ± 8.3) out of 28.The vaccine registration portal of the Czech Republic was found to be most informative and was able to provide a piece of scientifically valid information on safety, efficacy, long-term short effects, choice of vaccine with attributable authors details. India, Bangladesh, Nigeria, South Africa scored relatively low to missing critical information on the website. The United Arab Emirates, Republic of South Korea, Indonesia, Australia, and Argentina had minor elements missing.Conclusions: COVID-19 vaccination portals vary in the quality of information and many were found unable to provide critical information for decision making on getting vaccinated

Dynamic QoS-Aware Cloud Service Selection Using Best-Worst Method and Timeslot Weighted Satisfaction Scores

2020 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua
Keyword(s):  
Decision Making ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Satisfaction Score ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Best Worst Method ◽  
Selection Of

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.

scholarly journals Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method

2019 ◽  
Vol 16 (23) ◽  
pp. 4843 ◽  
Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Ruxue Ren ◽  
Chunguang Bai ◽  
Edmundas Kazimieras Zavadskas ◽  
...  
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Cold Chain ◽  
Solution Methods ◽  
Criteria Weights ◽  
Ranking Of Alternatives ◽  
And Storage ◽  
Selection Of

Medicine is the main means to reduce cancer mortality. However, some medicines face various risks during transportation and storage due to the particularity of medicines, which must be kept at a low temperature to ensure their quality. In this regard, it is of great significance to evaluate and select drug cold chain logistics suppliers from different perspectives to ensure the quality of medicines and reduce the risks of transportation and storage. To solve such a multiple criteria decision-making (MCDM) problem, this paper proposes an integrated model based on the combination of the SWARA (stepwise weight assessment ratio analysis) and CoCoSo (combined compromise solution) methods under the probabilistic linguistic environment. An adjustment coefficient is introduced to the SWARA method to derive criteria weights, and an improved CoCoSo method is proposed to determine the ranking of alternatives. The two methods are extended to the probabilistic linguistic environment to enhance the applicability of the two methods. A case study on the selection of drug cold chain logistics suppliers is presented to demonstrate the applicability of the proposed integrated MCDM model. The advantages of the proposed methods are highlighted through comparative analyses.

scholarly journals A STUDY ON ATTRIBUTES INFLUENCING SELECTION OF SHOPPING MALL

2017 ◽  
pp. 75-83
Author(s):  
Virendra Chavda
Keyword(s):  
Site Selection ◽  
Selection Criteria ◽  
Shopping Mall ◽  
Retail Location ◽  
Preference Criteria ◽  
Tenant Mix ◽  
Descriptive Survey ◽  
Selection Of ◽  
Do So

Shopping mall preference is being evaluated by using various attributes such as location, tenant mix, mall image and availability of parking. This research explores why retailers prefer to locate in one shopping mall and not another. What attributes makes one shopping mall more desirable to retailers than another? To do so, this research reviews literature for understanding the preference criteria of retail location in the shopping mall context. A descriptive survey of retailers within the mall was carried out through the use of questionnaires as research instruments. The study concludes that with a better understanding of the retailers’ mall preference attributes and their site selection criteria and methodologies, shopping mall developers can better understand what attributes, and which information will best help them in improving their mall attractiveness

scholarly journals Penentuan Penerimaan Mahasiswa Baru Pascasarjana Menggunakan Simple Additive Weighting (SAW)

2019 ◽  
Vol 8 (2) ◽  
pp. 121-129
Author(s):  
Febri Hadi ◽  
Dodi Guswandi
Keyword(s):  
Decision Making ◽  
Graduate Students ◽  
Decision Making Process ◽  
Postgraduate Student ◽  
Prospective Students ◽  
Study Programs ◽  
Decision Making System ◽  
Simple Additive Weighting ◽  
Selection Of

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.

scholarly journals A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents

2021 ◽  
Vol 23 (3) ◽  
pp. 443-453
Author(s):  
Maysa Alshraideh ◽  
Shereen Ababneh ◽  
Elif Elcin Gunay ◽  
Omar Al-Araidah
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Fuzzy Topsis ◽  
Final Decision ◽  
Proposed Model ◽  
Maintenance Outsourcing ◽  
Multiple Experts ◽  
Decision Making Model

The paper provides a multiple-experts Fuzzy-TOPSIS decision-making model for the selection among maintenance contractors based on the quality of tendering documents. The study introduces a set of selection criteria utilizing benefit and cost criteria from literature. The proposed model aggregates subjective linguistic assessments of multiple experts that express their opinions on the degree of importance of criteria and allows multiple decisionmakers to evaluate the compliance of contractors’ documents. For a case study, the model is applied to select among contractors tendering to maintain the heavy-duty cranes of an international steel company from literature. Several decision-making scenarios are investigated, and major changes in the final decision are observed. The changes in obtained results illustrate the need to better address uncertainties in rating and tendering an overqualified contractor at a higher cost.

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