Foreword. | 0 | 0.34 | 2015 |
Some properties of overlap and grouping functions and their application to image thresholding | 51 | 1.34 | 2013 |
In Memory of Da Ruan. | 0 | 0.34 | 2013 |
General and program chair welcome message. | 0 | 0.34 | 2012 |
Intuitionistic fuzzy Bonferroni means. | 56 | 2.53 | 2011 |
Belief trees and networks for biometric applications | 2 | 0.40 | 2011 |
A simple fuzzy rule-based system through vector membership and kernel-based granulation | 9 | 0.65 | 2010 |
Concept Representation and Database Structures in Fuzzy Social Relational Networks | 10 | 0.69 | 2010 |
Evidence Resolution Using Concept Hierarchies | 4 | 0.55 | 2008 |
Centered OWA Operators | 81 | 2.74 | 2007 |
Hypercube Graph Representations and Fuzzy Measures of Graph Properties | 2 | 0.66 | 2007 |
Measures of specificity of fuzzy sets under T-indistinguishabilities | 4 | 0.86 | 2006 |
Perception-based granular probabilities in risk modeling and decision making | 6 | 0.76 | 2006 |
A Multicriteria Approach to Data Summarization Using Concept Ontologies | 22 | 0.97 | 2006 |
A T-Norm Based Specificity For Fuzzy Sets On Compact Domains | 2 | 0.47 | 2006 |
Some Comments on LexiT Orderings for Strict t-norms | 1 | 0.43 | 2005 |
On the role of anxiety in decisions under possiblistic uncertainty. | 3 | 3.32 | 2004 |
On the retranslation process in Zadeh's paradigm of computing with words. | 49 | 1.82 | 2004 |
Cumulative distribution functions from Dempster-Shafer belief structures. | 10 | 0.83 | 2004 |
Quantitative weights and aggregation | 55 | 3.39 | 2004 |
Toward a language for specifying summarizing statistics. | 8 | 0.93 | 2003 |
Uncertainty representation using fuzzy measures. | 30 | 3.88 | 2002 |
Nonmonotonicity and Compatibility Relations in Belief Structures | 0 | 0.34 | 2002 |
Determining equivalent values for possibilistic variables. | 7 | 0.94 | 2001 |
Penalizing strategic preference manipulation in multi-agent decision making | 19 | 1.21 | 2001 |
Veristic variables. | 7 | 0.85 | 2000 |
Fuzzy modeling for intelligent decision making under uncertainty. | 36 | 2.86 | 2000 |
Intelligent control of the hierarchical agglomerative clustering process. | 22 | 6.53 | 2000 |
Decision making with fuzzy probability assessments | 24 | 1.05 | 1999 |
Calculating attribute values using inheritance structures in fuzzyobject-oriented data models | 1 | 0.35 | 1999 |
On the construction of hierarchical fuzzy systems models | 26 | 1.77 | 1998 |
Including importances in OWA aggregations using fuzzy systems modeling | 49 | 3.43 | 1998 |
A new approach to the fusion of expert information. | 3 | 1.66 | 1998 |
A reasoning algorithm for high-level fuzzy Petri nets | 42 | 3.01 | 1996 |
Decision Making With Belief Structures: An Application In Risk Management | 8 | 7.35 | 1996 |
DECISION-MAKING UNDER VARIOUS TYPES OF UNCERTAINTIES | 4 | 1.95 | 1995 |
On Weighted median Aggregation. | 19 | 2.42 | 1994 |
SLIDE: A simple adaptive defuzzification method | 55 | 18.79 | 1993 |
On the Completion of Priority Orderings in Nonmonotonic Reasoning Systems. | 7 | 5.68 | 1993 |
A Generalized Defuzzification Method Via Bad Distributions | 83 | 36.19 | 1991 |
On the associations between variables in expert systems including default relations | 3 | 1.35 | 1990 |
On the representation of commonsense knowledge by possibilistic reasoning | 3 | 1.10 | 1989 |
Some extensions of constraint propagation of label sets | 6 | 12.60 | 1989 |
A mathematical programming approach to inference with the capability of implementing default rules | 9 | 3.04 | 1988 |
Using approximate reasoning to represent default knowledge | 30 | 4.83 | 1987 |
Editorial. | 0 | 0.34 | 1986 |
Towards a general theory of reasoning with uncertainty. Part II: Probability | 8 | 3.89 | 1986 |
Approximate Reasoning As A Basis For Rule-Based Expert Systems | 36 | 16.60 | 1984 |
Multiple Objective Decision-Making Using Fuzzy Sets. | 74 | 37.67 | 1977 |