scholarly journals A USER-DRIVEN SELECTION OF VGI BASED ON MINIMUM ACCEPTABLE QUALITY LEVELS

2015 ◽  
Vol II-3/W5 ◽  
pp. 277-284 ◽  
Author(s):  
G. Bordogna ◽  
P. Carrara ◽  
L. Criscuolo ◽  
M. Pepe ◽  
A. Rampini
Keyword(s):  
Ad Hoc ◽  
Geographic Information ◽  
Decision Makers ◽  
Quality Indices ◽  
Quality Requirements ◽  
Acceptable Quality ◽  
Quality Issues ◽  
Information Consumers ◽  
Selection Of

Despite Volunteered Geographic Information (VGI) activities are now extremely helpful in a number of scientific applications, researchers and decision makers oppose some resistance to the usage of volunteered contributions, due to quality issues. Several methods and workflows have been proposed to face quality issues in different VGI projects, usually built ad-hoc for specific datasets, thus resulting neither extensible nor transferable. In order to overcome this weakness, the authors propose to perform an user-driven assessment on VGI items in order to filter only those that satisfy minimally acceptable quality levels defined according to their specific quality requirements and project goals. In the present work the users, i.e., information consumers, are seen as decision makers and are allowed to set the minimum acceptable quality levels Thus the approach proposes a user driven assessment of the fitness for use of VGI items. The paper first briefly presents a view on VGI components and suitable quality indices, then it describes a logic architecture for managing them and for enabling a querying mechanism to the datasets. The approach is finally exemplified with a case study simulation.

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.

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.

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.

scholarly journals SCALE IN REGIONAL ENVIRONMENTAL PLANNING: THE RECONSTRUCTION OF NORTH-BRABANT, THE NETHERLANDS

2012 ◽  
Vol 14 (01) ◽  
pp. 1250004 ◽  
Author(s):  
ANDRE KOOIMAN ◽  
SUKHAD SUBODH KESHKAMAT
Keyword(s):  
The Netherlands ◽  
Environmental Planning ◽  
Information Science ◽  
Academic Research ◽  
Real Life ◽  
Geographic Information ◽  
Boundary Object ◽  
Theoretical Concepts ◽  
Selection Of

Selection of scale in science and planning is often guided by ad-hoc decisions and arguments of accuracy and availability of existing data and resources. A more analytical approach to selection of scale and a bridge between theoretical insight and practical application is required. This paper reviews recent developments in thinking on theoretical concepts on scale from the perspective of geo-information science and compares these with a real life case. The concept of scale is framed as a three dimensional boundary object that explains scale choice as resultant of rationalities in reality-, model- and data scales. It is applied to a case-study of how issues of scale were handled in the Reconstruction program of the Province of North Brabant in The Netherlands. The Reconstruction is an ongoing regional spatial planning exercise that started in the year 2000 in response to major veterinary, environmental, social and economic problems in areas with concentrations of intensive livestock keeping. It combines legislation and policies at international, national, regional and municipal levels. Geographic information was produced to support and present the results of the plan process and related SEA. Scale of various intermediate and final geo-information products varied from 1:5000–1:400,000 and was dependent on the plan stage, plan status and target audience, plan instrument, level of participation, data characteristics, costs and technology. By comparing theory with the case study we bring out the criteria and conditions of selection of appropriate scale whereby the usefulness of academic research in geographic information science for planning and decision making could be improved.

scholarly journals Brief Communication: On the rapid and efficient monitoring results dissemination in landslide emergency scenarios: the Mont de La Saxe case study

2015 ◽  
Vol 15 (9) ◽  
pp. 2009-2017 ◽  
Author(s):  
D. Giordan ◽  
A. Manconi ◽  
P. Allasia ◽  
D. Bertolo
Keyword(s):  
Ad Hoc ◽  
Communication Strategy ◽  
Decision Makers ◽  
Civil Protection ◽  
Landslide Evolution ◽  
Correct Communication ◽  
Slope Instabilities ◽  
Definition Of ◽  
Emergency Scenarios

Abstract. Straightforward communication of monitoring results is of major importance in emergency scenarios relevant to large slope instabilities. Here we describe the communication strategy developed for the Mont de La Saxe rockslide threatening La Palud and Entrèves hamlets in the Courmayeur municipality (Aosta Valley, Italy). Starting from the definition of actions and needs of the landslide management team, including scientists, technicians, civil protection operators, decision makers, and politicians, we show that sharing and disseminating ad hoc information simplifies the understanding of the landslide evolution, as well as the correct communication of the level of criticality.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

The International Criminal Tribunal for the Former Yugoslavia: Planners and Instigators or Foot Soldiers?

2009 ◽  
Vol 11 (3) ◽  
pp. 345-357
Author(s):  
Philip Caine
Keyword(s):  
Ad Hoc ◽  
International Criminal ◽  
International Criminal Tribunal ◽  
Lessons Learned ◽  
Decision Makers ◽  
Former Yugoslavia ◽  
Humanitarian Law ◽  
The Balkans ◽  
Military Tribunal ◽  
Selection Of

The International Military Tribunal at Nuremberg prosecuted the most infamous criminals of the Nazi regime whereas the International Criminal Tribunal for the Former Yugoslavia (ICTY) has brought to trial only two of the ‘big guns' of the Balkans conflicts. The aim of this study is to assess the effectiveness of the ICTY in fulfilling its mandate to prosecute those most responsible for serious violations of international humanitarian law committed during the conflicts of the Former Yugoslavia. The research combines a literature-based assessment of the ICTY together with focused interviews of the main decision-makers in the Office of the Prosecutor, and seeks to assess the factors involved in the initiation of investigations and the selection of individuals for indictment. The independence and autonomy of the Prosecutor is identified as one of the most significant factors in the selection of indictees, but whilst the highest ranking individuals were always the main targets for indictment by the Office of the Prosecutor, the findings suggest that a weak mandate, inadequate resources and indifference by the international community forced the hand of the Prosecutor into indicting lower level suspects. Further ad hoc tribunals are planned by the United Nations and the lessons learned from the experience of the ICTY are essential if they are to administer international justice effectively.

scholarly journals A validated model for the scoping process of quality requirements: a multi-case study

2021 ◽  
Vol 26 (2) ◽  
Author(s):  
Thomas Olsson ◽  
Krzysztof Wnuk ◽  
Slinger Jansen
Keyword(s):  
Conceptual Model ◽  
Success Factors ◽  
Ad Hoc ◽  
Assessment Model ◽  
Data Driven ◽  
Quality Requirements ◽  
Software Products ◽  
Improvement Potential ◽  
Do So

AbstractQuality requirements are vital to developing successful software products. However, there exist evidence that quality requirements are managed mostly in an “ad hoc” manner and down-prioritized. This may result in insecure, unstable, slow products, and unhappy customers. We have developed a conceptual model for the scoping process of quality requirements – QREME – and an assessment model – Q-REPM – for companies to benchmark when evaluating and improving their quality requirements practices. Our model balances an upfront forward-loop with a data-driven feedback-loop. Furthermore, it addresses both strategic and operational decisions. We have evaluated the model in a multi-case study at two companies in Sweden and three companies in The Netherlands. We assessed the scoping process practices for quality requirements and provided improvement recommendations for which practices to improve. The study confirms the existence of the constructs underlying QREME. The companies perform, in the median, 24% of the suggested actions in Q-REPM. None of the companies work data-driven with their quality requirements, even though four out of five companies could technically do so. Furthermore, on the strategic level, quality requirements practices are not systematically performed by any of the companies. The conceptual model and assessment model capture a relevant view of the quality requirements practices and offer relevant improvement proposals. However, we believe there is a need for coupling quality requirements practices to internal and external success factors to motive companies to change their ways of working. We also see improvement potential in the area of business intelligence for QREME in selecting data sources and relevant stakeholders.

scholarly journals Siting MSW landfills via the integration of DEMATEL-ANP and clustering algorithm in a fuzzy logic environment (Case Study: Lanzhou, China)

2021 ◽  
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Fuzzy Logic ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
Decision Makers ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision ◽  
Selection Of

Abstract The siting of Municipal Solid Waste (MSW) landfills is a complex decision based process that involves multiple hydrogeological, morphological, environmental, climatic, and socio-economic criteria. In a fuzzy logic environment, DEMATEL and ANP methods were employed to comprehensively consider uncertainty, fuzziness of data and the subjective scoring and stability of results to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30m resolution, criteria weights were determined via the integration of DEMATEL and ANP, and seven sets of membership functions were simulated to obtain the best fuzzy logic environment. Combining GIS spatial analysis and the three clustering algorithms (DBSCAN, HDBSCAN, and OPTICS), candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics and reachability were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This paper focuses on a flexible and novel framework for the selection of MSW landfill sites for Lanzhou, which is a semi-arid valley basin city in China. In contrast to common techniques, this model not only made the best recommendation scientifically and efficiently but could also provide accurate assessment data for decision makers in landfill construction and high-quality urban development.

scholarly journals NEW GROUP DECISION-MAKING ARCAS APPROACH BASED ON THE INTEGRATION OF THE SWARA AND THE ARAS METHODS ADAPTED FOR NEGOTIATIONS

2017 ◽  
Vol 18 (4) ◽  
pp. 599-618 ◽  
Author(s):  
Dragisa STANUJKIC ◽  
Edmundas Kazimieras ZAVADSKAS ◽  
Darjan KARABASEVIC ◽  
Zenonas TURSKIS ◽  
Violeta KERŠULIENĖ
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Operation Research ◽  
Group Decision ◽  
Negotiation Process ◽  
Decision Makers ◽  
Practical Implementation ◽  
The One ◽  
Selection Of

Groups are generally considered to be more effective as compared to single individuals. The practical implementation of Operation Research methods in group negotiations needs simple contexts and clear cause-and-effect relationships easily discernible by everyone. This paper proposes a multi-criteria group decision-making approach allowing decision makers/experts involved in a negotiation process to better express and defend their preferences in the selection of the best alternative. In the proposed approach, the most appropriate alternative is the alternative with the largest number of appearances in the first position or in ranking lists, or the one determined based on negotiations of decision makers/experts. The proposed ARCAS approach is based on the use of the ARAS method, a new normalization procedure, and the SWARA method. In the proposed approach, each decision maker/expert involved in evaluation has an opportunity to set the preferred level of rating for each criterion used in such evaluation. Finally, a case study is presented in order to highlight the proposed approach. The obtained results confirm the usability and efficiency of the proposed approach.

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