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Quantum model of mass function
Author(s) -
Gao Xiaozhuan,
Deng Yong
Publication year - 2020
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.22208
Subject(s) - quantum probability , open quantum system , quantum process , quantum algorithm , quantum operation , function (biology) , quantum , quantum information , quantum capacity , quantum discord , statistical physics , mathematics , quantum mechanics , physics , quantum dynamics , evolutionary biology , biology
Abstract Dempster‐Shafer (D‐S) evidence theory has been used in many fields due to the flexibility and effectiveness in modelling uncertainties, which is the extension of classical probability. Uncertainty principle is one of the most important principles in quantum theory, which has been used in many fields. How to set the connection between quantum theory and D‐S evidence theory is also an open issue. Hence, the paper proposed the quantum model of mass function to consider the quantum theory and D‐S evidence theory. In the proposed quantum method, quantum mass function uses euler formula to represent. The paper also discusses some operations based on the quantum model of the mass function. Moreover, the paper also discusses the relationship between quantum mass function and classical mass function by using some numerical examples. Classical mass function is a special case when there is no interference in quantum mass function. Similar to the other quantum models, this study provides a more wide application in quantum information.