“…While collaborating on-field during the various phases of the DMC with the Italian National Firefighters Corps, the National Civil Protection Department (DPC), and the Friuli Venezia Giulia Regional Civil Protection (PCR-FVG), the SPRINT-Lab researchers helped develop tools and procedures for gathering and processing information to support decision-makers 6 , 11 – 13 . The feedback from these experiences highlighted the need for an IT tool with the specifications listed in Table 1 .…”
Section: The Architecture Of the Sprint-enginementioning
“…During this phase, disaster management efforts focus on minimising the effects of the adverse event, saving lives, and ensuring basic needs. Management actions have to be prompt and based on substantial information acquired in a short period of time 4 – 6 . While the modalities for identifying substantial information are discussed in other papers 6 , it is essential to emphasise the potential need for customising in “near real-time” both the set of substantial information and its acquisition support tools.…”
Section: Introductionmentioning
confidence: 99%
“…Management actions have to be prompt and based on substantial information acquired in a short period of time 4 – 6 . While the modalities for identifying substantial information are discussed in other papers 6 , it is essential to emphasise the potential need for customising in “near real-time” both the set of substantial information and its acquisition support tools. The customisation requirement depends on the specific characteristics of the adverse event and of the response phase; the latter is usually characterized by a complex set of problems, which could also evolve quickly or change drastically, both with location and time 7 , 8 .…”
Information and technology (IT) based tools are widely used in all phases of the disaster management cycle (DMC), improving the effectiveness of the prevision-prevention, preparedness, response, and recovery phases. The availability of on-field collected data provides an answer to the need to represent the scenario in which decision-makers will intervene. In this context, disaster management experience has shown that in many cases the users of on-field assessment outcomes (i.e., decision-makers) need: a data collection tool quickly and simply adaptable to better respond to specific and conditional needs; the automated elaboration of situation results; and the ability to exchange the information between the different phases of the DMC. This paper illustrates the IT tool, called "SPRINT-Engine", which was developed to meet these requirements. The SPRINT-Engine has been specifically developed and improved to permit easy and rapid customizability, even in near real-time. The paper presents some applications in real cases of on-field assessment managed by SPRINT-Lab researchers in support of institutions in various activities and projects at different scales and in different phases of the DMC.
“…While collaborating on-field during the various phases of the DMC with the Italian National Firefighters Corps, the National Civil Protection Department (DPC), and the Friuli Venezia Giulia Regional Civil Protection (PCR-FVG), the SPRINT-Lab researchers helped develop tools and procedures for gathering and processing information to support decision-makers 6 , 11 – 13 . The feedback from these experiences highlighted the need for an IT tool with the specifications listed in Table 1 .…”
Section: The Architecture Of the Sprint-enginementioning
“…During this phase, disaster management efforts focus on minimising the effects of the adverse event, saving lives, and ensuring basic needs. Management actions have to be prompt and based on substantial information acquired in a short period of time 4 – 6 . While the modalities for identifying substantial information are discussed in other papers 6 , it is essential to emphasise the potential need for customising in “near real-time” both the set of substantial information and its acquisition support tools.…”
Section: Introductionmentioning
confidence: 99%
“…Management actions have to be prompt and based on substantial information acquired in a short period of time 4 – 6 . While the modalities for identifying substantial information are discussed in other papers 6 , it is essential to emphasise the potential need for customising in “near real-time” both the set of substantial information and its acquisition support tools. The customisation requirement depends on the specific characteristics of the adverse event and of the response phase; the latter is usually characterized by a complex set of problems, which could also evolve quickly or change drastically, both with location and time 7 , 8 .…”
Information and technology (IT) based tools are widely used in all phases of the disaster management cycle (DMC), improving the effectiveness of the prevision-prevention, preparedness, response, and recovery phases. The availability of on-field collected data provides an answer to the need to represent the scenario in which decision-makers will intervene. In this context, disaster management experience has shown that in many cases the users of on-field assessment outcomes (i.e., decision-makers) need: a data collection tool quickly and simply adaptable to better respond to specific and conditional needs; the automated elaboration of situation results; and the ability to exchange the information between the different phases of the DMC. This paper illustrates the IT tool, called "SPRINT-Engine", which was developed to meet these requirements. The SPRINT-Engine has been specifically developed and improved to permit easy and rapid customizability, even in near real-time. The paper presents some applications in real cases of on-field assessment managed by SPRINT-Lab researchers in support of institutions in various activities and projects at different scales and in different phases of the DMC.
“…Additionally, the functionality and setup of the emergency management systems should be considered 4 . Epidemics, earthquakes, tsunamis, tornadoes, wildfires, and other natural disasters are becoming more frequent and severe in developing nations in the twenty-first century, with disastrous effects on people's health, economies, and societies 5 – 8 . Due to the increase in disasters, humanitarian efforts are also of utmost importance.…”
Selecting a supplier for emergency medical supplies during disasters can be considered a typical multiple attribute group decision-making (MAGDM) problem. MAGDM is an intriguing common problem that is rife with ambiguity and uncertainty. It becomes much more challenging when governments and medical care enterprises adjust their priorities in response to the escalating problems and the effectiveness of the actions taken in different countries. As decision-making problems become increasingly complicated nowadays, a growing number of experts are likely to use T-spherical fuzzy sets (T-SFSs) rather than exact numbers. T-SFS is a novel extension of fuzzy sets that can fully convey ambiguous and complicated information in MAGDM. The objective of this paper is to propose a MAGDM methodology based on interaction and feedback mechanism (IFM) and T-SFS theory. In it, we first introduce T-SF partitioned Bonferroni mean (T-SFPBM) and T-SF weighted partitioned Bonferroni mean (T-SFWPBM) operators to fuse the evaluation information provided by experts. Then, an IFM is designed to achieve a consensus between multiple experts. In the meantime, we also find the weights of experts by using T-SF information. Furthermore, in light of the combination of IFM and T-SFWPBM operator, an MAGDM algorithm is designed. Finally, an example of supplier selection for emergency medical supplies is provided to demonstrate the viability of the suggested approach. The influence of parameters on decision results and comparative analysis with the existing methods confirmed the reliability and accuracy of the suggested approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
