Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Equality relations as a basis for fuzzy control
Fuzzy Sets and Systems
Artificial Intelligence
Fuzzy sets and vague environments
Fuzzy Sets and Systems - Special issue on diagnostics and control through neural interpretations of fuzzy sets
The relation between inference and interpolation in the framework of fuzzy systems
Fuzzy Sets and Systems
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
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
Information Sciences—Informatics and Computer Science: An International Journal
Decision tree learning with fuzzy labels
Information Sciences—Informatics and Computer Science: An International Journal
Modelling and Reasoning with Vague Concepts (Studies in Computational Intelligence)
Modelling and Reasoning with Vague Concepts (Studies in Computational Intelligence)
LFOIL: Linguistic rule induction in the label semantics framework
Fuzzy Sets and Systems
Linguistic modelling based on semantic similarity relation among linguistic labels
Fuzzy Sets and Systems
IEEE Transactions on Evolutionary Computation
A Collective Decision Model Involving Vague Concepts and Linguistic Expressions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Forecasting time series with genetic fuzzy predictor ensemble
IEEE Transactions on Fuzzy Systems
A prototype-based rule inference system incorporating linear functions
Fuzzy Sets and Systems
Reasoning with doubly uncertain soft constraints
International Journal of Approximate Reasoning
A computing with words based approach to multicriteria energy planning
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
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The theory of prototypes provides a new semantic interpretation of vague concepts. In particular, the calculus derived from this interpretation results in the same calculus as label semantics proposed by Lawry. In the theory of prototypes, each basic linguistic label L has the form 'about P', where P is a set of prototypes of L and the neighborhood size of the underlying concept is described by the word 'about' which represents a probability density function @d on [0,+~). In this paper we propose an approach to vague information coarsening based on the theory of prototypes. Moreover, we propose a framework for linguistic modelling within the theory of prototypes, in which the rules are concise and transparent. We then present a linguistic rule induction method from training data based on information coarsening and data clustering. Finally, we apply this linguistic modelling method to some benchmark time series prediction problems, which show that our linguistic modelling and information coarsening methods are potentially powerful tools for linguistic modelling and uncertain reasoning.