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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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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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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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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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Zhengmin Liu, Xiaolan Zhao, Lin Li, Xinya Wang and Di Wang
A double hierarchy hesitant fuzzy linguistic term set (DHHFLT) is deemed as an effective and powerful linguistic expression which models complex linguistic decision information more accurately by using two different hierarchy linguistic term sets. The pu...
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Jin Han Park, Yu Kyoung Park and Mi Jung Son
In this paper, a hesitant probabilistic fuzzy multiple attribute group decision making is studied. First, some Einstein operations on hesitant probability fuzzy elements such as the Einstein sum, Einstein product, and Einstein scalar multiplication are p...
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Zhikang Lu and Jun Ye
Single-valued neutrosophic numbers (SVNNs) can express incomplete, indeterminate, and inconsistent information in the real world. Then, the common weighted aggregation operators of SVNNs may result in unreasonably aggregated results in some situations. B...
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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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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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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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Jun Ye and Wenhua Cui
Linguistic decision making (DM) is an important research topic in DM theory and methods since using linguistic terms for the assessment of the objective world is very fitting for human thinking and expressing habits. However, there is both uncertainty an...
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Florentin Smarandache and Jun Ye
Over a period of seven months (August 2017?February 2018), the Special Issue dedicated to ?Neutrosophic Information Theory and Applications? by the ?Information? journal (ISSN 2078-2489), located in Basel, Switzerland, was a success. The Guest Editors, P...
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Atousa Pahlevan, Jean-Luc Duprat, Alex Thomo and Hausi Müller
Quality web service discovery requires narrowing the search space from an overwhelming set of services down to the most relevant ones, while matching the consumer?s request. Today, the ranking of services only considers static attributes or snapshots of ...
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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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Katsuto Shimizu, Oumer S. Ahmed, Raul Ponce-Hernandez, Tetsuji Ota, Zar Chi Win, Nobuya Mizoue and Shigejiro Yoshida
In 2016, in response to forest loss, the Myanmar government banned logging operations for 1 year throughout the entire country and for 10 years in specific regions. However, it is unclear whether this measure will effectively reduce forest loss, because ...
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