Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Are grades of membership probabilities?
Fuzzy Sets and Systems - Interpretations of Grades on Membership
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
On the semantics of fuzzy logic
International Journal of Approximate Reasoning
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Can we enforce full compositionality in uncertainty calculi?
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
The uncertain reasoner's companion: a mathematical perspective
The uncertain reasoner's companion: a mathematical perspective
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Semantics for fuzzy logic supporting truth functionality
Discovering the world with fuzzy logic
A behavioral model for linguistic uncertainty
Information Sciences—Informatics and Computer Science: An International Journal - Special issue computing with words
Default Reasoning: Causal and Conditional Theories
Default Reasoning: Causal and Conditional Theories
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty
Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty
Fuzzy Logic From The Logical Point of View
SOFSEM '95 Proceedings of the 22nd Seminar on Current Trends in Theory and Practice of Informatics
A Complete Calcultis for Possibilistic Logic Programming with Fuzzy Propositional Variables
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Decision tree learning with fuzzy labels
Information Sciences—Informatics and Computer Science: An International Journal
Linguistic quantifiers modeled by Sugeno integrals
Artificial Intelligence
LFOIL: Linguistic rule induction in the label semantics framework
Fuzzy Sets and Systems
Linguistic quantifiers based on Choquet integrals
International Journal of Approximate Reasoning
Extracting Fuzzy Linguistic Summaries Based on Including Degree Theory and FCA
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
A linguistic truth-valued reasoning approach in decision making with incomparable information
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Fuzzy theory and technology with applications
Generalised Label Semantics as a Model of Epistemic Vagueness
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Linguistic modelling and information coarsening based on prototype theory and label semantics
International Journal of Approximate Reasoning
Linguistic quantifiers modeled by Sugeno integrals
Artificial Intelligence
Uncertainty modelling for vague concepts: A prototype theory approach
Artificial Intelligence
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
A linguistic CMAC equivalent to a linguistic decision tree for classification
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Linguistic modelling based on semantic similarity relation among linguistic labels
Fuzzy Sets and Systems
Decision tree learning with fuzzy labels
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Granular knowledge representation and inference using labels and label expressions
IEEE Transactions on Fuzzy Systems - Special section on computing with words
A prototype-based rule inference system incorporating linear functions
Fuzzy Sets and Systems
A bipolar model of assertability and belief
International Journal of Approximate Reasoning
Determination of α-resolution in lattice-valued first-order logic LF(X)
Information Sciences: an International Journal
A probabilistic model for linguistic multi-expert decision making involving semantic overlapping
Expert Systems with Applications: An International Journal
Prediction and query evaluation using linguistic decision trees
Applied Soft Computing
Bipolar semantic cells: an interval model for linguistic labels
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
Multi-agents and non-classical logic systems
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
A compensatory model for computing with words under discrete labels and incomplete information
Knowledge-Based Systems
Hybrid bayesian estimation trees based on label semantics
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Information Sciences: an International Journal
A linguistic decision tree approach to predicting storm surge
Fuzzy Sets and Systems
On the inference and approximation properties of belief rule based systems
Information Sciences: an International Journal
A random set and rule-based regression model incorporating image labels
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Concept generation in language evolution
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Hybrid Bayesian estimation tree learning with discrete and fuzzy labels
Frontiers of Computer Science: Selected Publications from Chinese Universities
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A new framework for linguistic reasoning is proposed based on a random set model of the degree of appropriateness of a label. Labels are assumed to be chosen from a finite predefined set of labels and the set of appropriate labels for a value is defined as a random set-valued function from a population of individuals into the set of subsets of labels. Appropriateness degrees are then evaluated relative to the distribution on this random set where the appropriateness degree of a label corresponds to the probability that it is contained in the set of appropriate labels. This interpretation is referred to as label semantics. A natural calculus for appropriateness degrees is described which is weakly functional while taking into account the logical structure of expressions. Given this framework it is shown that a bayesian approach can be adopted in order to infer probability distributions on the underlying variable given constraints both in the form of linguistic expressions and mass assignments. In addition, two conditional measures are introduced for evaluating the appropriateness of a linguistic expression given other linguistic information.