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A Generalized Pignistic Transformation
This chapter introduces a generalized pignistic transformation (GPT) developed in the DSmT framework as a tool for decision-making at the pignistic level. The GPT allows to construct quite easily a subjective probability measure from any generalized basic belief assignment provided by any corpus of evidence. We focus our presentation on the 3D case and we provide the full result obtained by the proposed GPT and its validation drawn from the probability theory.
Classic Works of the Dempster-Shafer Theory of Belief Functions
This is a collection of classic research papers on the Dempster-Shafer theory of belief functions. The book is the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. The book includes a foreword reflecting the development of the theory in the last forty years.
Advances and Applications of DSmT for Information Fusion (Collected works)
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. De...
Uncertainty in Artificial Intelligence
This volume contains papers accepted for presentation at the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI99) held at the Royal Institute of Technology (KTH) in Stockholm, Sweden from July 30 through August 1, 1999. This conference continues a 15-year tradition of providing an international forum for exchange of ideas on problems of reasoning, under uncertainty. During those 15 years, UAI has moved from a little-noticed niche at the edge of the field, solidly into the mainstream of artificial intelligence research and practice. Research first presented at UAI has contributed significantly to advances in a number of related fields and has found application in a wide variety of domains. The UAI conference has acquired a reputation for excellence, and the proceedings have become an important reference source for high-quality work in the field.
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