A Note on Belief Structures and S-approximation Spaces

被引:1
作者
Shakiba, Ali [1 ]
Goharshady, Amir Kafshdar [2 ]
Hooshmandasl, Mohammad Reza [3 ]
Meybodi, Mohsen Alambardar [4 ]
机构
[1] Vali E Asr Univ Rafsanjan, Dept Comp Sci, Rafsanjan, Iran
[2] IST Austria Inst Sci & Technol Austria, Klosterneuburg, Austria
[3] Univ Mohaghegh Ardabili, Dept Comp Sci, Ardebil, Iran
[4] Univ Isfahan, Dept Appl Math & Comp Sci, Esfahan, Iran
来源
IRANIAN JOURNAL OF MATHEMATICAL SCIENCES AND INFORMATICS | 2020年 / 15卷 / 02期
关键词
Evidence Theory; S-approximation Spaces; Rough Sets; Partial Monotonicity; Quality of Approximation;
D O I
10.29252/ijmsi.15.2.117
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We study relations between evidence theory and S-approximation spaces. Both theories have their roots in the analysis of Dempster's multivalued mappings and lower and upper probabilities, and have close relations to rough sets. We show that an S-approximation space, satisfying a monotonicity condition, can induce a natural belief structure which is a fundamental block in evidence theory. We also demonstrate that one can induce a natural belief structure on one set, given a belief structure on another set, if the two sets are related by a partial monotone S-approximation space.
引用
收藏
页码:117 / 128
页数:12
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