On conjunctive and disjunctive combination rules of evidence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook On conjunctive and disjunctive combination rules of evidence write by Hongyan Sun. This book was released on . On conjunctive and disjunctive combination rules of evidence available in PDF, EPUB and Kindle. In this chapter, the Dempster-Shafer (DS) combination rule is examined based on the multi-valued mapping (MVM) and the product combination rule of multiple independent sources of information.
Combination of Evidence in Dempster-Shafer Theory
Combination of Evidence in Dempster-Shafer Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Combination of Evidence in Dempster-Shafer Theory write by Kari Sentz. This book was released on 2002. Combination of Evidence in Dempster-Shafer Theory available in PDF, EPUB and Kindle. Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. Dempster-Shafer theory does not require an assumption regarding the probability of the individual constituents of the set or interval. This is a potentially valuable tool for the evaluation of risk and reliability in engineering applications when it is not possible to obtain a precise measurement from experiments, or when knowledge is obtained from expert elicitation. An important aspect of this theory is the combination of evidence obtained from multiple sources and the modeling of conflict between them. This report surveys a number of possible combination rules for Dempster-Shafer structures and provides examples of the implementation of these rules for discrete and interval-valued data.
Advances and Challenges in Multisensor Data and Information Processing
Advances and Challenges in Multisensor Data and Information Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances and Challenges in Multisensor Data and Information Processing write by Eric Lefebvre. This book was released on 2007. Advances and Challenges in Multisensor Data and Information Processing available in PDF, EPUB and Kindle. "Proceedings of the NATO Advanced Study Institute on Multisensor Data and Information Processing for Rapid and Robust Situation and Threat Assessment, Albena, Bulgaria, 16-27 May 2005"--T.p. verso.
Advances and Applications of DSmT for Information Fusion (Collected works)
Advances and Applications of DSmT for Information Fusion (Collected works) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances and Applications of DSmT for Information Fusion (Collected works) write by Florentin Smarandache. This book was released on 2004. Advances and Applications of DSmT for Information Fusion (Collected works) available in PDF, EPUB and Kindle. Papers collected from researchers in fusion information, such as: Florentin Smarandache, Jean Dezert, Hongshe Dang, Chongzhao Han, Frederic Dambreville, Milan Daniel, Mohammad Khoshnevisan, Sukanto Bhattacharya, Albena Tchamova, Tzvetan Semerdjiev, Pavlina Konstantinova, Hongyan Sun, Mohammad Farooq, John J. Sudano, Samuel Corgne, Gregoire Mercier, Laurence Hubert-Moy, Anne-Laure Jousselme, Patrick Maupin and others on Dezert-Smarandache Theory of Plausible and Paradoxical Reasoning (DSmT).. The principal theories available until now for data fusion are the probability theory, the fuzzy set theory, the possibility theory, the hint theory and the theory of evidence. Since last two years J. Dezert and F. Smarandache are actively developing a new theory of plausible and paradoxical reasoning, called DSmT (acronym for Dezert-Smarandache Theory), for information fusion of uncertain and highly conflicting sources of information. The DSmT can be interpreted as a generalization of the Dempster-Shafer Theory (DST) but goes far beyond the DST. The free-DSmT model, which assumes that the ultimate refinement of the frame of discernment of the fusion problem is not accessible due to the intrinsic nature of its elements, is opposite to the Shafer's model (on which is based the DST) assuming the exhaustivity and exclusivity of all elements of the frame of discernment. The DSmT proposes a new theoretical framework for data fusion based on definition of hyper-power sets and a new simple commutative and associative rule of combination. Recently, it has been discovered, through a new DSm hybrid rule of combination, that DSmT can be also extended to problems involving hybrid-models (models including some exclusivity and/or non-existentially constraints). This new important theoretical result offers now to the DSmT a wider class of fusion applications and allows potentially to attack the next generation of complex dynamical/temporal fusion problems. DSmT can also provide a theoretical issue for the fusion of neutrosophic information (extension of fuzzy information proposed by F. Smarandache in nineties - see http://www.gallup.unm.edu/~smarandache/FirstNeutConf.htm for details about the neutrosophy logic and neutrosophy set theory).
