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Kate Carlson, Barbara P. Buttenfield and Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat...
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Xuan Guo, Junnan Liu, Fang Wu and Haizhong Qian
As an essential role in cartographic generalization, road network selection produces basic geographic information across map scales. However, the previous selection methods could not simultaneously consider both attribute characteristics and spatial stru...
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Zuoxin Wang and Xiaohu Zhao
Most current non-intrusive load monitoring methods focus on traditional load characteristic analysis and algorithm optimization, lack knowledge of users? electricity consumption behavior habits, and have poor accuracy. We propose a novel attention-guided...
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Mengqi Chen, Jingyang Xia, Ruoyun Huang and Weiguo Fang
As the core process of case-based reasoning (CBR), case retrieval is the foundation for CBR success, and the quality of case retrieval depends on the case similarity measure. We improved the CBR system for aeroengine fault diagnosis by embedding the atti...
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Mahdi Rezapour and Khaled Ksaibati
A choice to use a seat belt is largely dependent on the psychology of the vehicles? occupants, and thus those decisions are expected to be characterized by preference heterogeneity. Despite the importance of seat belt use on the safety of the roadways, t...
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Stylianos Giakoumakis and Basil Papadopoulos
In this paper, we develop a novel computation model of Intuitionistic Fuzzy Values with the usage of fuzzy negations and Archimedean copulas. This novel computation model?s structure is based on the extension of the existing operations of intuitionistic ...
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Xuefeng Guan, Chong Xie, Linxu Han, Yumei Zeng, Dannan Shen and Weiran Xing
During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high rendering delay, and poor visual effects. Research...
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Danielle Preziuso, Gabriel García-Medina, Rebecca O?Neil, Zhaoqing Yang and Taiping Wang
Although tidal energy conversion technologies are not yet commercially available or cost-competitive with other renewable energy technologies like wind turbines and solar panels, tides are a highly predictable resource. Tidal energy?s predictability indi...
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Samia EL Haddouti and Mohamed Dafir Ech-Cherif EL Kettani
Several countries have invested in building their identity management systems to equip citizens with infrastructures and tools to benefit from e-services. However, current systems still lack the interoperability requirement, which is the core issue that ...
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Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene and Prasenjit Chatterjee
Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business processes. In this Special Issue, 16 selected and peer-reviewed original rese...
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