Paper Info
Title
Perception-based granular probabilities in risk modeling and decision making
Abstract
Our focus is on the issue of decision making in risky situations. We discuss the need for using decision functions to aid in capturing the decision maker's preference among these types of uncertain alternatives. The use of fuzzy rule based formulations to model these functions is investigated. We discuss the role of perception based granular probability distributions as a means of modeling the uncertainty profiles of the alternatives. Various properties of this method of describing uncertainty are provided. Tools for evaluating rule based decision functions in the face of perception based uncertainty profiles are presented. Consideration is given to the situation in which our uncertainty profiles are expressed in terms of a cumulative distribution function. We introduce the idea of a perception based granular cumulative distribution and describe its representation in terms of a fuzzy rule-based model
Year
DOI
Venue
2006
10.1109/TFUZZ.2005.859313
IEEE T. Fuzzy Systems
Keywords
Field
DocType
risk modeling,uncertainty profile,uncertain alternative,fuzzy rule-based model,perception-based granular probability,granular cumulative distribution,decision function,granular probability distribution,fuzzy rule,cumulative distribution function,decision maker,risky situation,probability,helium,risk analysis,risk management,fuzzy sets,uncertainty,risk,distribution functions,cost accounting,terrorism,rule based,fuzzy set theory,probability distribution
Decision analysis,Decision rule,Rule-based system,Fuzzy set,Weighted sum model,Cumulative distribution function,Probability distribution,Artificial intelligence,Mathematics,Machine learning,Fuzzy rule
Journal
Volume
Issue
ISSN
14
2
1063-6706
Citations 
PageRank 
References 
6
0.76
8
Authors
1
Name
Order
Citations
PageRank
Ronald R. Yager1986206.03