Are grades of membership probabilities?
Fuzzy Sets and Systems - Interpretations of Grades on Membership
Measuring properties of fuzzy sets: a general technique and its use in fuzzy query evaluation
Fuzzy Sets and Systems - On fuzzy information and database systems
On the semantics of fuzzy logic
International Journal of Approximate Reasoning
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
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
A framework for linguistic modelling
Artificial Intelligence
Modelling and Reasoning with Vague Concepts (Studies in Computational Intelligence)
Modelling and Reasoning with Vague Concepts (Studies in Computational Intelligence)
A logic for reasoning about the probability of fuzzy events
Fuzzy Sets and Systems
Artificial Intelligence
Linguistic modelling based on semantic similarity relation among linguistic labels
Fuzzy Sets and Systems
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 probabilistic model for linguistic multi-expert decision making involving semantic overlapping
Expert Systems with Applications: An International Journal
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
A bipolar model of vague concepts based on random set and prototype theory
International Journal of Approximate Reasoning
On truth-gaps, bipolar belief and the assertability of vague propositions
Artificial Intelligence
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
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An epistemic model of the uncertainty associated with vague concepts is introduced. Label semantics theory is proposed as a framework for quantifying an agent's uncertainty concerning what labels are appropriate to describe a given example. An interpretation of label semantics is then proposed which incorporates prototype theory by introducing uncertain thresholds on the distance between elements and prototypes for description labels. This interpretation naturally generates a functional calculus for appropriateness measures. A more general model with distinct threshold variables for different labels is discussed and we show how different kinds of semantic dependence can be captured in this model.