Fuzzy weighted averages and implementation of the extension principle
Fuzzy Sets and Systems
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
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Fuzzy sets and fuzzy logic: theory and applications
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International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Type 2 representation and reasoning for CWW
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Pattern recognition using type-II fuzzy sets
Information Sciences—Informatics and Computer Science: An International Journal
A concept geometry for conceptual spaces
Fuzzy Optimization and Decision Making
Information Sciences: an International Journal
Fuzzy subsethood and belief functions of fuzzy events
Fuzzy Sets and Systems
Reformulation of the theory of conceptual spaces
Information Sciences: an International Journal
Design of interval type-2 fuzzy sliding-mode controller
Information Sciences: an International Journal
Definition and construction of fuzzy DI-subsethood measures
Information Sciences: an International Journal
IEEE Computational Intelligence Magazine
Type-2 FLCs: A New Generation of Fuzzy Controllers
IEEE Computational Intelligence Magazine
IEEE Transactions on Fuzzy Systems
Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems
Aggregation Using the Fuzzy Weighted Average as Computed by the Karnik–Mendel Algorithms
IEEE Transactions on Fuzzy Systems
Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach
IEEE Transactions on Fuzzy Systems
Comments on α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
Type-2 fuzzy sets as functions on spaces
IEEE Transactions on Fuzzy Systems
Multivariate modeling and type-2 fuzzy sets
Fuzzy Sets and Systems
Overview of Type-2 Fuzzy Logic Systems
International Journal of Fuzzy System Applications
Advances in Fuzzy Systems
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In this paper,we use Zadeh's extension principle to extend Kosko's definition of the fuzzy subsethood measure S(G, H) to type-2 fuzzy sets defined on any set X equipped with a measure. Subsethood is itself a fuzzy set that is a crisp interval when G and H are interval type-2 sets. We show how to compute this interval and then use the result to compute subsethood for general type-2 fuzzy sets. A definition of subsethood for arbitrary fuzzy sets of type-n 2 is then developed. This subsethood is a type-(n - 1) fuzzy set, and we provide a procedure to compute subsethood of interval type-3 fuzzy sets.