Cloud service evaluation method-based Multi-Criteria Decision-Making: A systematic literature review

2018 ◽  
Vol 139 ◽  
pp. 161-188 ◽  
Author(s):  
Hamzeh Alabool ◽  
Ahmad Kamil ◽  
Noreen Arshad ◽  
Deemah Alarabiat
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Evaluation Method ◽  
Cloud Service ◽  
Service Evaluation ◽  
Multi Criteria Decision Making

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

scholarly journals A systematic literature review on multi-criteria decision making in disaster management

2020 ◽  
Vol 2 (2) ◽  
pp. 1-7
Author(s):  
Fawz Manyaga ◽  
Mariam Yasmin ◽  
Nilufer Nilufer ◽  
Zineb Hajaoui
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Disaster Management ◽  
Systematic Literature Review ◽  
Monsoon Season ◽  
Human Life ◽  
Economic Losses ◽  
Multi Criteria Decision Making ◽  
Planning And Management ◽  
Effective Planning

This paper through a systematic literature review portrays the academic work that has been done in disaster management by applying multi-criteria decision making. This study reviews 36 academic articles that applied multi-criteria decision-making planning and management of natural disasters i.e. tsunami, floods, heavy rains, earthquake, land sliding, epidemic, pandemic, etc. This study finds out that lack of effective planning and management pre and post disasters is causing loss of human life, temporary migration of locals to safer places, loss of properties, and economic losses. Once the crisis is over, it requires efforts and additional finances to bring life to normal. There are regions where disasters are periodic such as floods in rivers or due to monsoon season. But with effective planning and pre-determined priorities, loss to human life can be mitigated. Disaster management departments need effective planning tools to forecast imminent disasters and prepare accordingly. This study is very relevant to the recent global pandemic COVID-19 that has caused human and economic losses and will leave footprints for the coming years and generations

scholarly journals Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alan Brnabic ◽  
Lisa M. Hess
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Real World ◽  
Learning Algorithms ◽  
External Validation ◽  
Machine Learning Algorithms ◽  
Learning Methods ◽  
Machine Learning Methods

Abstract Background Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. Methods This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. Results A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. Conclusions A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.

scholarly journals Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Sustainable Development Goals ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
2030 Agenda ◽  
Development Goals

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

scholarly journals A Methodological Process for the Design of Frameworks Oriented to Infotainment User Interfaces

2021 ◽  
Vol 13 (11) ◽  
pp. 5982
Author(s):  
Carlos-Alberto Domínguez-Báez ◽  
Ricardo Mendoza-González ◽  
Huizilopoztli Luna-García ◽  
Mario Alberto Rodríguez-Díaz ◽  
Francisco Javier Luna-Rosas ◽  
...  
Keyword(s):  
Literature Review ◽  
Design Process ◽  
Systematic Literature Review ◽  
User Interfaces ◽  
Evaluation Method ◽  
Likert Scale ◽  
Work Team

The objective of this paper was to propose a methodological process for the design of frameworks oriented to infotainment user interfaces. Four stages comprise the proposed process, conceptualization, structuring, documentation, and evaluation; in addition, these stages include activities, tasks, and deliverables to guide a work team during the design of a framework. To determine the stages and their components, an analysis of 42 papers was carried out through a systematic literature review in search of similarities during the design process of frameworks related to user interfaces. The evaluation method by a panel of experts was used to determine the validity of the proposal; the conceptual proposal was provided to a panel of 10 experts for their analysis and later a questionnaire in the form of a Likert scale was used to collect the information on the validation of the proposal. The results of the evaluation indicated that the methodological process is valid to meet the objective of designing a framework oriented to infotainment user interfaces.

Sign in / Sign up

Export Citation Format

Share Document