Fen Wang, M. Raisinghani, Manuel Mora Tavarez, J. Forrest
This study conducts a review and synthesis of the Business Intelligence and Analytics (BI&A) evolution, applications, frameworks and emerging trends with the aim to provide a summary of core concepts, a succinct but valuable description of main applications and frameworks, and an account of main recommendations for addressing the Big Data challenges and opportunities. It develops an integrated and organized view on the BI&A evolution process and presents an integrated BI&A application framework to help organizations adopt or develop the appropriate BI&A solutions to derive the desired impact in the Big Data era. This paper also elicits a set of practical recommendations to executives and leaders in organizations worldwide for interpreting the BI&A literature and applying the rich body of knowledge for IT practitioners. It traces the BI&A evolution to data-driven discovery and highly proactive and creative decision-making utilizing advanced analytical techniques with unstructured and massive data sources to cope with a highly dynamic global business environment in the Big Data era.
{"title":"Effective Decision Support in the Big Data Era: Optimize Organizational Performance via BI&A","authors":"Fen Wang, M. Raisinghani, Manuel Mora Tavarez, J. Forrest","doi":"10.4018/ijdsst.286683","DOIUrl":"https://doi.org/10.4018/ijdsst.286683","url":null,"abstract":"This study conducts a review and synthesis of the Business Intelligence and Analytics (BI&A) evolution, applications, frameworks and emerging trends with the aim to provide a summary of core concepts, a succinct but valuable description of main applications and frameworks, and an account of main recommendations for addressing the Big Data challenges and opportunities. It develops an integrated and organized view on the BI&A evolution process and presents an integrated BI&A application framework to help organizations adopt or develop the appropriate BI&A solutions to derive the desired impact in the Big Data era. This paper also elicits a set of practical recommendations to executives and leaders in organizations worldwide for interpreting the BI&A literature and applying the rich body of knowledge for IT practitioners. It traces the BI&A evolution to data-driven discovery and highly proactive and creative decision-making utilizing advanced analytical techniques with unstructured and massive data sources to cope with a highly dynamic global business environment in the Big Data era.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83157501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Apinat Dowrueng, Chinoros Thongthamchart, Nanthiya Raphitphan, Potcharapol Brohmsubha, W. Laungnarutai, U. Supakchukul, A. Dowrueng
This paper describes the decision-making based on civil engineering expertise of the Dam Safety Remote Monitoring System: DS-RMS, which decides on action-based advice depending on every-day scenarios and special occurrences such as earthquakes and floods. The system has been in full operation since 2016 and automatically evaluates 35 failure modes for 3 major dam types 24 hours a day. Key benefits include quick and reliable access to current information about the dams and being a reliever to dam executives in critical situations. In further development, parts of the real-time dam information were selected and made available to the public together with dam safety evaluation results automatically and continuously via a mobile application.
{"title":"Decision Support System in Thailand's Dam Safety With a Mobile Application for Public Relations: DS-RMS (Dam Safety Remote Monitoring System)","authors":"Apinat Dowrueng, Chinoros Thongthamchart, Nanthiya Raphitphan, Potcharapol Brohmsubha, W. Laungnarutai, U. Supakchukul, A. Dowrueng","doi":"10.4018/ijdsst.286183","DOIUrl":"https://doi.org/10.4018/ijdsst.286183","url":null,"abstract":"This paper describes the decision-making based on civil engineering expertise of the Dam Safety Remote Monitoring System: DS-RMS, which decides on action-based advice depending on every-day scenarios and special occurrences such as earthquakes and floods. The system has been in full operation since 2016 and automatically evaluates 35 failure modes for 3 major dam types 24 hours a day. Key benefits include quick and reliable access to current information about the dams and being a reliever to dam executives in critical situations. In further development, parts of the real-time dam information were selected and made available to the public together with dam safety evaluation results automatically and continuously via a mobile application.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90216347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soni Kumari, Bhavdeep Nakum, Din Bandhu, K. Abhishek
The change in the trend of transportation, increasing per capita income, expectation of better lifestyle, easy finance, and reduced cost of the automobile are some of the main factors that enable a commoner to have his/her own car. Therefore, it is essential to comprise such features in cars that offer qualities enabling the ease of consumer’s decision-making and comfort to purchase a car individually. Purchasing a car is a complicated multi-criteria decision-making problem as an individual may have different preferences for different criteria attributes. The attributes may be conflicting in nature depending on the need of the individual customer. Generally, it becomes quite difficult to assign ratings to these attributes based on numeric values. Therefore, the decision-making process relies on an idiosyncratic finding of the decision-makers which is in practice fuzzy with uncertainities. Hence, this article is a case study that deals with a hierarchy MCDM approach in accordance with the fuzzy logic and VIKOR method to solve a car purchasing problem.
{"title":"Multi-Attribute Group Decision Making (MAGDM) Using Fuzzy Linguistic Modeling Integrated With the VIKOR Method for Car Purchasing Model","authors":"Soni Kumari, Bhavdeep Nakum, Din Bandhu, K. Abhishek","doi":"10.4018/ijdsst.286185","DOIUrl":"https://doi.org/10.4018/ijdsst.286185","url":null,"abstract":"The change in the trend of transportation, increasing per capita income, expectation of better lifestyle, easy finance, and reduced cost of the automobile are some of the main factors that enable a commoner to have his/her own car. Therefore, it is essential to comprise such features in cars that offer qualities enabling the ease of consumer’s decision-making and comfort to purchase a car individually. Purchasing a car is a complicated multi-criteria decision-making problem as an individual may have different preferences for different criteria attributes. The attributes may be conflicting in nature depending on the need of the individual customer. Generally, it becomes quite difficult to assign ratings to these attributes based on numeric values. Therefore, the decision-making process relies on an idiosyncratic finding of the decision-makers which is in practice fuzzy with uncertainities. Hence, this article is a case study that deals with a hierarchy MCDM approach in accordance with the fuzzy logic and VIKOR method to solve a car purchasing problem.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90864749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Natural language serves as an impeccable tool for the appropriate representation of knowledge among individuals. Owing to the varying representation of the same knowledge base and the perpetual growth of the World Wide Web, the need to uncover an effective method to condense available textual data without significantly dampening the implied information is paramount. In an attempt to solve the need for effectively condensing textual data, the paper proposes a system which is capable of mimicking the human brain's approach to process Natural Language Fuzzy Logic. The system is subjected to both intrinsic and extrinsic evaluation and the results are compared against two other text summarizers - Auto summarize Tool and SweSum using the CNN Corpus Dataset. The Relevance Prediction Measure, F1 Score and Recall results suggest the applicability of Fuzzy Reasoning in text summarization and through evaluation, it can be inferred that proposed system has successfully tried to mimic the process of summary generation by the human brain.
{"title":"Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation","authors":"Srinidhi Hiriyannaiah, G. Siddesh, K. Srinivasa","doi":"10.4018/ijdsst.286689","DOIUrl":"https://doi.org/10.4018/ijdsst.286689","url":null,"abstract":"Natural language serves as an impeccable tool for the appropriate representation of knowledge among individuals. Owing to the varying representation of the same knowledge base and the perpetual growth of the World Wide Web, the need to uncover an effective method to condense available textual data without significantly dampening the implied information is paramount. In an attempt to solve the need for effectively condensing textual data, the paper proposes a system which is capable of mimicking the human brain's approach to process Natural Language Fuzzy Logic. The system is subjected to both intrinsic and extrinsic evaluation and the results are compared against two other text summarizers - Auto summarize Tool and SweSum using the CNN Corpus Dataset. The Relevance Prediction Measure, F1 Score and Recall results suggest the applicability of Fuzzy Reasoning in text summarization and through evaluation, it can be inferred that proposed system has successfully tried to mimic the process of summary generation by the human brain.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90661899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/ijdsst.2021100104
R. Vetschera, J. Almeida
Portfolio decision models have become an important branch of decision analysis. Portfolio problems are inherently complex, because of the combinatorial explosion in the number of portfolios that can be constructed even from a small number of items. To efficiently construct a set of portfolios that provide good performance in multiple criteria, methods that guide the search process are needed. Such methods require the calculation of bounds to estimate the performance of portfolios that can be obtained from a given partial portfolio. The calculation of such bounds is particularly difficult if interactions between items in the portfolio are possible. In the paper, the authors introduce a method to represent such interactions and develop various bounds that can be used in the presence of interactions. These methods are then tested in a computational study, where they show that the bounds they propose frequently provide a good approximation of actual outcomes, and also analyze specific properties of the problem that influence the approximation quality of the proposed bounds.
{"title":"Bounds in Tree-Based Approaches to Generate Project Portfolios in the Presence of Interactions","authors":"R. Vetschera, J. Almeida","doi":"10.4018/ijdsst.2021100104","DOIUrl":"https://doi.org/10.4018/ijdsst.2021100104","url":null,"abstract":"Portfolio decision models have become an important branch of decision analysis. Portfolio problems are inherently complex, because of the combinatorial explosion in the number of portfolios that can be constructed even from a small number of items. To efficiently construct a set of portfolios that provide good performance in multiple criteria, methods that guide the search process are needed. Such methods require the calculation of bounds to estimate the performance of portfolios that can be obtained from a given partial portfolio. The calculation of such bounds is particularly difficult if interactions between items in the portfolio are possible. In the paper, the authors introduce a method to represent such interactions and develop various bounds that can be used in the presence of interactions. These methods are then tested in a computational study, where they show that the bounds they propose frequently provide a good approximation of actual outcomes, and also analyze specific properties of the problem that influence the approximation quality of the proposed bounds.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84196504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/ijdsst.2021100101
T. R. N. Clemente, Aldênia Karla Barrêto Candido
The Brazilian gypsum has one of the highest levels of recognized mineral qualities in the world. Companies that operate in this sector support major economy-driving industries such as civil construction, architecture, medicine, and agriculture and are an input for the manufacture of paints, phosphors, and insecticides, among others. Most of the companies that constitute this sector are small and medium-sized enterprises (SMEs), which require supply chain solutions to maintain competition in market share. Supply chain integration as a collaborative solution has become a necessary strategy for enhancing SMEs decision-making capability. This study proposes a conceptual model based on a normative multi-agent system approach that offers a dynamic view about supply chain integration for managers and other stakeholders. From this contribution, it is possible to obtain constant information flow among stakeholders and build an effective strategic context for SMEs in the Brazilian Gypsum Local Productive Arrangement (LPA).
{"title":"Conceptual Model Based on Normative Multi-Agent System for Supply Chain Integration of Brazilian Gypsum LPA","authors":"T. R. N. Clemente, Aldênia Karla Barrêto Candido","doi":"10.4018/ijdsst.2021100101","DOIUrl":"https://doi.org/10.4018/ijdsst.2021100101","url":null,"abstract":"The Brazilian gypsum has one of the highest levels of recognized mineral qualities in the world. Companies that operate in this sector support major economy-driving industries such as civil construction, architecture, medicine, and agriculture and are an input for the manufacture of paints, phosphors, and insecticides, among others. Most of the companies that constitute this sector are small and medium-sized enterprises (SMEs), which require supply chain solutions to maintain competition in market share. Supply chain integration as a collaborative solution has become a necessary strategy for enhancing SMEs decision-making capability. This study proposes a conceptual model based on a normative multi-agent system approach that offers a dynamic view about supply chain integration for managers and other stakeholders. From this contribution, it is possible to obtain constant information flow among stakeholders and build an effective strategic context for SMEs in the Brazilian Gypsum Local Productive Arrangement (LPA).","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70454734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/ijdsst.2021100105
C. Martins, P. Zaraté, Adiel Teixeira de Almeida, J. Almeida, D. Morais
The allocation of scarce resources is a complex higher education decision problem, especially when it comes to budget constraints. Therefore, the authors propose a multicriteria web-based decision support system for resource allocation in higher education organizations. To do so, they define an MCDA/M resource allocation model, based on a project portfolio selection problem to set the percentage of the total budget that every alternative should receive. For the web-based DSS, they develop a database model to store and retrieve data, define the user's interface, and they use a web platform to transform the prototype into a web-based system. Also, they run an empirical analysis with an end-user to test the DSS. They show that the system can provide a clear vision of how the resource allocation system works; the mechanism as a whole becomes more transparent to those involved, enabling them to make efficient and reasonable decisions.
{"title":"Web-Based DSS for Resource Allocation in Higher Education","authors":"C. Martins, P. Zaraté, Adiel Teixeira de Almeida, J. Almeida, D. Morais","doi":"10.4018/ijdsst.2021100105","DOIUrl":"https://doi.org/10.4018/ijdsst.2021100105","url":null,"abstract":"The allocation of scarce resources is a complex higher education decision problem, especially when it comes to budget constraints. Therefore, the authors propose a multicriteria web-based decision support system for resource allocation in higher education organizations. To do so, they define an MCDA/M resource allocation model, based on a project portfolio selection problem to set the percentage of the total budget that every alternative should receive. For the web-based DSS, they develop a database model to store and retrieve data, define the user's interface, and they use a web platform to transform the prototype into a web-based system. Also, they run an empirical analysis with an end-user to test the DSS. They show that the system can provide a clear vision of how the resource allocation system works; the mechanism as a whole becomes more transparent to those involved, enabling them to make efficient and reasonable decisions.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78764813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-01DOI: 10.4018/ijdsst.2021100102
Petros Kritikos, Vasso Papadimitriou, Georgios N. Aretoulis
Project designer (PD) personality defines the way PDs cooperate with the project team, make decisions, and influence the project performance. The current research focused on identifying attributes associated with successful PDs as considered by male and female project engineers. In this context, a five-year questionnaire survey collected 423 responses from Greek engineers. The survey recorded data regarding the respondents and the scores assigned to the required PDs attributes. The methodological approach included an SPSS database, followed by descriptive statistics analysis, independent sample t-test, and correlation analysis. It became obvious that gender influences the assessment and selection of desired PD personality characteristics. Female engineers tend to assign the highest Likert scale-based scores, whereas male respondents tend to assign lower scores. The most highly ranked abilities included “responsibility,” “reliability,” and “obedience to rules.” The findings facilitate the implementation of multi-criteria decision-making tools for efficient project teams.
{"title":"Required Project Designers' Attributes as Perceived by Male and Female Engineers","authors":"Petros Kritikos, Vasso Papadimitriou, Georgios N. Aretoulis","doi":"10.4018/ijdsst.2021100102","DOIUrl":"https://doi.org/10.4018/ijdsst.2021100102","url":null,"abstract":"Project designer (PD) personality defines the way PDs cooperate with the project team, make decisions, and influence the project performance. The current research focused on identifying attributes associated with successful PDs as considered by male and female project engineers. In this context, a five-year questionnaire survey collected 423 responses from Greek engineers. The survey recorded data regarding the respondents and the scores assigned to the required PDs attributes. The methodological approach included an SPSS database, followed by descriptive statistics analysis, independent sample t-test, and correlation analysis. It became obvious that gender influences the assessment and selection of desired PD personality characteristics. Female engineers tend to assign the highest Likert scale-based scores, whereas male respondents tend to assign lower scores. The most highly ranked abilities included “responsibility,” “reliability,” and “obedience to rules.” The findings facilitate the implementation of multi-criteria decision-making tools for efficient project teams.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78605817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-01DOI: 10.4018/IJDSST.2021070102
J. Papathanasiou, T. Bournaris, G. Tsaples, Panagiota Digkoglou, B. Manos
Agricultural management has become an increasingly complex endeavor. As a result, there is the need to generate knowledge from information that can guide practice, and in that aspect, decision support systems (DSSs) can contribute to achieving this goal. A DSS can be defined as a computer-based information system that is used to support complex decision-making. The aim of this paper is to present such a DSS focused on the agricultural sector. Its purpose is to be used for the planning of agricultural production and better utilization of a region's available resources. The development of the DSS relies on the classic theory of such tools utilizing MCDM models, databases, and a user interfaces. The proposed DSS was applied in the prefecture of Larissa in Central Greece. The DSS is adaptable to different contexts, and applications of these capabilities are presented at the end of the paper, applied in different regions under additional objectives and/or constraints.
{"title":"Applications of DSSs in Irrigation and Production Planning in Agriculture","authors":"J. Papathanasiou, T. Bournaris, G. Tsaples, Panagiota Digkoglou, B. Manos","doi":"10.4018/IJDSST.2021070102","DOIUrl":"https://doi.org/10.4018/IJDSST.2021070102","url":null,"abstract":"Agricultural management has become an increasingly complex endeavor. As a result, there is the need to generate knowledge from information that can guide practice, and in that aspect, decision support systems (DSSs) can contribute to achieving this goal. A DSS can be defined as a computer-based information system that is used to support complex decision-making. The aim of this paper is to present such a DSS focused on the agricultural sector. Its purpose is to be used for the planning of agricultural production and better utilization of a region's available resources. The development of the DSS relies on the classic theory of such tools utilizing MCDM models, databases, and a user interfaces. The proposed DSS was applied in the prefecture of Larissa in Central Greece. The DSS is adaptable to different contexts, and applications of these capabilities are presented at the end of the paper, applied in different regions under additional objectives and/or constraints.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74005202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-01DOI: 10.4018/IJDSST.2021070104
Blazo Nastov, Daouda Kamisoko, V. Chapurlat
Critical infrastructures provide services that are essential to the functioning and well-being of society. Failure to provide these services is unacceptable. This is a problem when considering the unpredictable nature of the environment (leading to crisis, natural disasters, terrorist attacks) and internal failures. The concern is even greater due to the interconnected and interdependent nature of critical infrastructures, which might lead to failure propagation, causing domino and cascade effects. The resilience of a system is the ability to reduce the magnitude and/or duration of disruptive events or their consequences, allowing a satisfactory level of performance and quality of services. Improving critical infrastructures' resilience before any disruption occurs can reassure society's vital needs. The goal of the paper is to define an improved decision support method for resilience by combining resilience assessment and multi-viewpoint modeling methods.
{"title":"An Improved Decision Support Method for Resilience Assessment Based on Multi-Viewpoint Modeling and Functional Analysis of Interconnected Systems","authors":"Blazo Nastov, Daouda Kamisoko, V. Chapurlat","doi":"10.4018/IJDSST.2021070104","DOIUrl":"https://doi.org/10.4018/IJDSST.2021070104","url":null,"abstract":"Critical infrastructures provide services that are essential to the functioning and well-being of society. Failure to provide these services is unacceptable. This is a problem when considering the unpredictable nature of the environment (leading to crisis, natural disasters, terrorist attacks) and internal failures. The concern is even greater due to the interconnected and interdependent nature of critical infrastructures, which might lead to failure propagation, causing domino and cascade effects. The resilience of a system is the ability to reduce the magnitude and/or duration of disruptive events or their consequences, allowing a satisfactory level of performance and quality of services. Improving critical infrastructures' resilience before any disruption occurs can reassure society's vital needs. The goal of the paper is to define an improved decision support method for resilience by combining resilience assessment and multi-viewpoint modeling methods.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82441650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}