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Caring about uncertainty
2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
This paper examines the use of a parameterized family of implication operators based on Schweizer-Sklar T-norms. Removing a restriction imposed by Schweizer and Sklar when the parameter p is negative leads to improper implication operators for which the truth value can take values outside the unit interval, including complex values. Inferences using increasingly positive p produce inferences incre...Show More
Propagation of uncertainty in systems with both probabilistic and possibilistic inputs
2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW)
Year: 2014 | Conference Paper |
This paper presents a method for generating a global quantification and characterization of the uncertainty in the output of a system with both probabilistic and possibilistic inputs. When we have evidence-based probability distributions of some of the inputs to the system but only possibilistic information about the uncertainties of others, neither standard statistics nor purely possibilistic ana...Show More
Uncertainty quantification for possibilistic/probabilistic simulation
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)
Year: 2013 | Conference Paper |
Cited by: Papers (2)
A key requirement for using a simulation model to assess a highly complex system is the ability to characterize and quantify the uncertainty in the simulation results with respect to a typically immense set of possible combinations of values of the model's input parameters. Some of these inputs may be sampled from a known or assumed probability distribution, but others are known only possibilistic...Show More
Much ado about nothing: Fuzzy infinities and infinitesimals
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS)
Year: 2012 | Conference Paper |
A method of fuzzy ordinal decision analysis is presented in which some outcomes are infinitely bad and some nonzero links are infinitesimally small: not well measurably different from zero. The method is illustrated in the context of community acceptance of a high containment biological research laboratory.Show More
Rare threats: Possibilistic, probabilistic, and Precautionary analysis
2011 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2011 | Conference Paper |
The focus of this paper is on four approaches to decision making about man-made systems which have some potential for catastrophic failure despite the fact that these systems are engineered and managed for safety. The four approaches are categorized in terms of the theory of possibility. If an adverse event is only partially possible and not at all necessary (that is, its complement is completely ...Show More
Assessing probability and possibility of catastrophic failure in managed systems using sparse fuzzy data
2010 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2010 | Conference Paper |
Cited by: Papers (2)
Comparing risks of rare, high consequence events poses serious challenges to social decision making as well as deep methodological and epistemological problems. It is necessary to assess the merits of countermeasures that are only useful in extremely unlikely circumstances. The value of a conventional conditional probability P(A|B)=P(A∩B)/P(B) becomes too uncertain to be useful when P(B) is not we...Show More
Economic value of intelligence
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2009 | Conference Paper |
Cited by: Papers (1)
Probably the most widespread and significant existing ldquoperformance metric for intelligent systemsrdquo is the dollar premiums that employers are willing to pay to recruit and retain more intelligent human employees compared to less intelligent ones. This paper examines some of the aspects driving this economic metric in the search for analogies that may be useful in establishing performance me...Show More
Why We Need Fuzzy Models in Bio-Risk Assessment
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2009 | Conference Paper |
A substantial weakness of the risk-assessment guidelines adopted by four US Government agencies is their failure to properly reflect the inherent statistical and non-statistical uncertainties involved in risk measurement. This paper critically reviews the four-stage guideline developed by the National Research Council (NRC) in 1983 and adopted, de facto, by EPA, FDA, OSHA, and the Consumer Product...Show More
Audit client composition and predicting large bank failures: A possibilistic approach
NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2009 | Conference Paper |
We develop a possibility based model with the aim of helping firms to deal with difficult-to- predict catastrophic failures. Our study is motivated by the recent economic turmoil and recent large financial firm failures. Our results suggest that specialization is an alternative to portfolio diversification in predicting catastrophic events.Show More
Possibilistic risk assessment
NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2008 | Conference Paper |
Cited by: Papers (2)
Some events are so rare that it is impossible to construct any evidence-based probability distribution for them. Judgmental assessment of probability is also suspect because extremely small probabilities are not readily distinguished from one another subjectively. We define a class of extremely rare events called "adventitious events" and illustrate the use of possibility theory to analyze risks a...Show More
Additive Weighted Ordered Weighted Average
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2007 | Conference Paper |
This paper presents a simplified version of Tora's Weighted Ordered Weighted Average based on restricting the Ordered Weighted Average component to a Soft Hurwicz Rule. It provides an easily understood, easily implemented tool that respects both the relative inherent importance of criteria and the degree to which tradeoffs among them are appropriate.Show More
Modeling Consensus and Competition with improper S-Implications
NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2006 | Conference Paper |
Cited by: Papers (1)
This paper discusses an approach to modeling rule interaction using a family of improper S-implications derived from an extension of the Schweizer-Sklar family of parameterized improper t-norms defined over -infin < p <+infin. Improper S-implications define a relation whose membership grade can exceed 100%. The advantage of this is that when improper S-implications are used to interpolate between ...Show More
Estimating a random walk using fuzzily recent data
NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
Year: 2005 | Conference Paper |
This paper presents a method for estimating a random walk which is observed subject to additive noise. The method is based on an optimal weighted average, conceptualized as defining a fuzzy set of "recent" data. A Monte Carlo experiment compares the method's effectiveness against the naive method, ordinary least squares regression, and regression with fuzzily recent data.Show More
Fuzzily recent data: a Monte Carlo experiment
IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.
Year: 2004 | Conference Paper |
Cited by: Papers (1)
Improper strong implication
2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622)
Year: 2002 | Conference Paper |
Cited by: Papers (1)
Schweizer and Sklar (1961, 1963) define a family of T-norms from [0,1]X[0,1] to [0,1] using a parameter p as follows: T(a,b)=(/spl alpha//sup p/+ b/sup -p/-1)/sup -1/p/ if (a/sup -p/+b/sup -p/-1)/spl ges/0,0 otherwise. This paper considers the effects of removing the requirement that (a/sup -p/+b/sup -p/-1)/spl ges/0. This produces a family of complex improper T-norms, which can be used to define ...Show More
Empirical comparison of techniques for linguistic approximation
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)
Year: 2001 | Conference Paper |
Cited by: Papers (5)
The paper presents the results of an experiment comparing the degree to which two systems of linguistic labeling correspond to the way that human beings interpret quantitative linguistic terms. Subjects with minimal training in fuzzy mathematics consistently preferred the output of a new system based on piecewise decomposition to an older system based on the convex hull.Show More
The authors' recent work, "Decision risk minimization by computation semiotics" produced nonconvex membership functions describing the risk profiles of alternative strategies. Arguably, linguistic approximation of these fuzzy membership functions facilitates the choice decision by a human agent. As is often the case, membership functions are not convex when they result from aggregated or computed ...Show More
This paper presents a method for supporting the decision making process for multiattribute decisions by applying quadratic programming to screen alternatives when the degree to which various alternatives satisfy, each attribute and/or the relative importance of the attributes are only roughly specified. In particular, we will work with verbal specifications of these quantities, like low, medium, a...Show More
Soft Computing Techniques for an Intelligent use of Internet Resources
J. Kacprzyk;L. Zadeh;R. Yager;D. Kraft;T. Whalen;E. Damiani;T. Vila;G. Pasi;D. Nauck
Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063)
Year: 2000 | Conference Paper |
First Page of the Article
Show MoreStrong and weak knowledge granules in context
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)
Year: 1999 | Conference Paper |
The article examines the joint effects of the strength of a knowledge granule implemented as a fuzzy if-then rule under a parameterized R-implication, and the parameter of the implication. A novel implication operator, the quadratic R-implication, is found to confer some special advantages.Show More
Strongly interacting knowledge granules
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)
Year: 1999 | Conference Paper |
Cited by: Papers (1)
A knowledge granule expressed as a material implication rule is strong to the degree that the fuzzy restriction it imposes is a strict one. When two rules interact strongly, there is no y value that is 100% compatible with both rules for x between the rules' antecedent cores. This paper considers the effects on the behavior of strongly interacting R-implications based on the Schweizer-Sklar parame...Show More
Defuzzification nonmonotonicity in material implication logics
1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353)
Year: 1998 | Conference Paper |
We attempt to demonstrate the nonmonotonicity in material implication fuzzy logics, explain its source, and seek remedies. Alternatives to Mamdani logic systems have not shared the research effort afforded to the very successful Mamdani systems and their extensions for fuzzy controllers. We consider a special member of the family of t-norm logic systems with special emphasis on defuzzification met...Show More
Cubic splines and fuzzy interpolation: a visual comparison
1998 Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.98TH8353)
Year: 1998 | Conference Paper |
The article focuses on three dimensional representations of crisp and fuzzy interpolation lines and surfaces on a poster. The X and Y dimensions will lie in the plane of the poster, while the membership grade of each (X, Y) pair will be represented by a surface constructed of styrofoam projecting away from the poster in the third dimension. Cubic Spline, Sugeno, and Defuzzified Mamdani interpolati...Show More
Mixed-logic interpolation of differentiable functions
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228)
Year: 1998 | Conference Paper |
Cited by: Papers (2)
A great many logical implication operators have been proposed to represent the fuzzy if-then relation. Within a parameterized family of operators, these operators lead to differently-shaped interpolation functions which vary systematically according to the parameter. This shape can be summarized by a continuum from selection to consensus. The paper explores the use of this variation to build a fuz...Show More
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