Uncertainty Information in LCI-Databases and Its Propagation Through an LCA Model

Author(s):  
Alexandra Opitz ◽  
Christof Menzel
2014 ◽  
Vol 556-562 ◽  
pp. 5787-5789
Author(s):  
Jia Tang

Logistics Park as a highly centralized logistics distribution center, information construction is very an important platform to society. In this paper, Xi'an comprehensive bonded zone as an example, the Internet of things technology for the construction of logistics park information platform focusing on the design of cloud computing data center, and realizing the sharing of logistics information. [3] Logistics Park as a highly centralized logistics distribution center, the establishment of a unified information platform is the development direction of park information application. However, because the logistics park operation is complex and uncertainty, information management platform for the management information systems in general, can not adapt to the characteristics of park operations flexible, restricted the development of the park.


2021 ◽  
pp. 1-26
Author(s):  
Lei Wang ◽  
Xindong Peng

It is prominent important for managers to assess the personal risk of mental patients. The evaluation process refers to numerous indexes, and the evaluation values are general portrayed by uncertainty information. In order to conveniently model the complicated uncertainty information in realistic decision making, interval-valued complex Pythagorean fuzzy set is proposed. Firstly, with the aid of Einstein t-norm and t-conorm, four fundamental operations for interval-valued complex Pythagorean fuzzy number (IVCPFN) are constructed along with some operational properties. Subsequently, according to these proposed operations, the weighted average and weighted geometric forms of aggregation operators are initiated for fusing IVCPFNs, and their anticipated properties are also examined. In addition, a multiple attribute decision making issue is examined under the framework of IVCPFNs when employing the novel suggested operators. Ultimately, an example regarding the assessment on personal risk of mental patients is provided to reveal the practicability of the designed approach, and the attractiveness of our results is further found through comparing with other extant approaches.The main novelty of the coined approach is that it not only can preserve the original assessment information adequately by utilizing the IVCPFNs, but also can aggregate IVCPFNs effectively.


Abstract Forecasts of sea-ice evolution in the Arctic region for several months ahead can be of considerable socio-economic value for a diverse range of marine sectors and for local community supply logistics. However, subseasonal-to-seasonal (S2S) forecasts represent a significant technical challenge, while translating user needs into scientifically manageable procedures and robust user confidence requires collaboration among a range of stakeholders. We developed and tested a novel, transdisciplinary co-production approach that combined socio-economic scenarios and participatory, research-driven simulation-gaming to test a new S2S sea-ice forecast system with experienced mariners in the cruise tourism sector. Our custom-developed computerized simulation-game ICEWISE integrated sea-ice parameters, forecast technology and human factors, as a participatory environment for stakeholder engagement. We explored the value of applications-relevant S2S sea-ice prediction and linked uncertainty information. Results suggest that the usefulness of S2S services is currently most evident in schedule-dependent sectors but expected to increase due to anticipated changes in the physical environment and continued growth in Arctic operations. Reliable communication of uncertainty information in sea-ice forecasts must be demonstrated and trialed before users gain confidence in emerging services and technologies. Mariners’ own intuition, experience, and familiarity with forecast service provider reputation impact the extent to which sea-ice information may reduce uncertainties and risks for Arctic mariners. Our insights into the performance of the combined foresight/simulation co-production model in brokering knowledge across a range of domains demonstrates promise. We conclude with an overview of the potential contributions from S2S sea-ice predictions and from experiential co-production models to the development of decision-driven and science-informed climate services.


2021 ◽  
pp. 22-26
Author(s):  
Zh.S. Safronova ◽  
◽  
D.S. Brazevich ◽  

Analyzed are scientific researches, the authors of which substantiate the concept of intellectual potential and determine methodological foundations for the diagnosis and development of the intellectual potential of youth. The authors of the article considered the concept of “intellectual potential” from the standpoint of various methodological approaches, showing advantages of young people in formation of intellectual potential: speed of mastering new competencies, high creativity, low reproductive inhibition during the development of activities. Problems of development of intellectual potential of Russian young people are revealed. The components of intellectual potential are highlighted, among which a special place is for motivation for mastering knowledge, abilities, skills, willingness to take risks and uncertainty, information culture, etc. It is proposed to determine intellectual potential of young people, based on levels of development of its components. Requirements for educational environment for development of intellectual potential of modern youth are described as well. The conclusion is made, that intellectual potential of modern youth must be formed in a specific educational environment with specific conditions.


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