Soft Boundary Estimation
Soft Boundary Estimation is a methodological framework in estimation theory that characterizes uncertainty regions with probabilistic or graded membership functions, distinguishing it from crisp or binary boundary models by allowing gradual transitions between included and excluded domains.
9
Publications
531
Citations
19
Authors
12
Institutions
Publications per year
2017–2026
2
Parents
9
Formal Solutions of Inverse Scattering Problems
Reese T. Prosser · Journal of Mathematical Physics · 1969 · 151 citations
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European Centre for Soft Computing
Mieres, Spain
1 h-index
1 publications
12 citations
Tianjin University
Tianjin, China
1 h-index
3 publications
63 citations
Wayne State University
Detroit, United States
1 h-index
4 publications
216 citations
Flemish Radio and Television Broadcasting Organisation
Brussels, Belgium
1 h-index
1 publications
12 citations
University of Colorado Boulder
Boulder, United States
1 h-index
1 publications
20 citations

Changchun University of Science and Technology
Changchun, China
1 h-index
4 publications
88 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
222 citations

Université Paris Dauphine-PSL
Paris, France
1 h-index
1 publications
222 citations
1–8 of 12
1 publications · 19 citations
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1 publications · 20 citations
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1 publications · 151 citations
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1 publications · 54 citations
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AEJ · 1 publications · 22 citations
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