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
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