Advances and Applications of DSmT for Information Fusion

Florentín Smarandache · Jean Dezert

437 citations0/0 files storedviXra

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Multi-Criteria Decision Making Fuzzy and Soft Set Theory Advanced Mathematical Theories

Abstract

This book is devoted to an emerging branch of Information Fusion based on new approach for modelling the fusion problematic when the information provided by the sources is both uncertain and (highly) conflicting. This approach, known in literature as DSmT (standing for Dezert-Smarandache Theory), proposes new useful rules of combinations.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 437 citations exist upstream.

Cited by

2006Analyzing the combination of conflicting belief functions 2017Classifier Fusion With Contextual Reliability Evaluation 2017Combination of Classifiers With Optimal Weight Based on Evidential Reasoning 2019Evidence Combination Based on Credal Belief Redistribution for Pattern Classification 2015Evidence Combination From an Evolutionary Game Theory Perspective 2012A new belief-based K-nearest neighbor classification method 2011Combination of sources of evidence with different discounting factors based on a new dissimilarity measure 2010Fusion of sources of evidence with different importances and reliabilities

Imported from OpenAlex (CC0) — nothing here is generated.