D-Intuitionistic Hesitant Fuzzy Sets and their Application in Multiple Attribute Decision Making
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DOI: 10.1007/s12559-018-9544-2
Abstract: Hesitant fuzzy sets (HFSs) and generalized hesitant fuzzy sets (GHFSs) provide useful tools for uncertain information processing in situations in which decision makers have doubts among several possible membership degrees. In practice, however, decision makers… read more here.
Keywords: decision; uncertain information; intuitionistic hesitant; hesitant fuzzy ... See more keywords
Deriving efficacy from basic uncertain information and uncertain Choquet Integral
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DOI: 10.1080/03081079.2022.2104268
Abstract: Basic Uncertain Information (BUI) as a newly introduced concept generalized a wide range of uncertain information. We discuss and compare some methods to derive efficacy from given BUI collection, which is helpful in decision aid.… read more here.
Keywords: information; uncertain choquet; efficacy; uncertain information ... See more keywords
Enhancing User Satisfaction by Adapting Robot’s Perception of Uncertain Information Based on Environment and User Feedback
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DOI: 10.1109/access.2017.2777823
Abstract: Assistive robots have been developed to improve the living standards of older people. These assistive robots are intended to be operated by non-expert users. Hence, they should have the ability to interact with humans in… read more here.
Keywords: uncertain information; information; perception uncertain; user feedback ... See more keywords
Multitarget Assignment Under Uncertain Information Through Decision Support Systems
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DOI: 10.1109/tii.2024.3397392
Abstract: Unmanned aerial vehicles (UAVs) play an important role in advancing fire prevention technology. However, existing research usually assumes that the firefighting equipment carried by UAVs, such as fire extinguishing bombs and water, can significantly satisfy… read more here.
Keywords: information; assignment uncertain; information decision; uncertain information ... See more keywords
A New Reliability Coefficient Using Betting Commitment Evidence Distance in Dempster–Shafer Evidence Theory for Uncertain Information Fusion
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DOI: 10.3390/e25030462
Abstract: Dempster–Shafer evidence theory is widely used to deal with uncertain information by evidence modeling and evidence reasoning. However, if there is a high contradiction between different pieces of evidence, the Dempster combination rule may give… read more here.
Keywords: fusion; dempster; uncertain information; evidence ... See more keywords
Advances in Uncertain Information Fusion
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DOI: 10.3390/e26110945
Abstract: Information fusion is the combination of information from multiple sources, which aims to draw more comprehensive, specific, and accurate inferences about the world than are achievable from the individual sources in isolation [...]. read more here.
Keywords: information; advances uncertain; uncertain information; information fusion ... See more keywords