A Monte Carlo-based method for the estimation of lower and upper probabilities of events using infinite random sets of indexable type

Fuzzy Sets and Systems

Volumn 160, Issue 3, 2009, Pages 384-401

  Alvarez, Diego A ^a  

^a UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Dempster Shafer evidence theory; Infinite random sets of indexable type; Monte Carlo simulation; Riemann Stieltjes sums

Indexed keywords

DATA FUSION; LEARNING SYSTEMS; MONTE CARLO METHODS; PROBABILITY; RANDOM PROCESSES; SENSOR DATA FUSION; SET THEORY;

BASIC VARIABLES; BELIEF AND PLAUSIBILITIES; DEMPSTER; DEMPSTER-SHAFER EVIDENCE THEORIES; DEMPSTER-SHAFER EVIDENCE THEORY; DISCRETIZATION; HIGH DIMENSIONS; INFINITE RANDOM SETS OF INDEXABLE TYPE; LOWER AND UPPER BOUNDS; LOWER AND UPPER PROBABILITIES; MONTE CARLO; MONTE CARLO SIMULATION; MONTE CARLO SIMULATIONS; MULTI-DIMENSIONAL; POSSIBILITY DISTRIBUTIONS; PROBABILITY BOXES; RANDOM SET THEORIES; RANDOM SETS; RIEMANN-STIELTJES SUMS; UNCERTAIN INFORMATIONS;

PROBABILITY DISTRIBUTIONS;

EID: 56049089374     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2008.08.006     Document Type: Article

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