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Solution Sets of Interval-Valued Fuzzy Relational Equations
Fuzzy Optimization and Decision Making, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shunmin Wang +2 more
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Association Analysis on Interval-Valued Fuzzy Sets
2018The aim of this paper is to generalize the concept of association rules for interval-valued fuzzy sets. Interval-valued fuzzy sets allow for intervals of membership degrees to be assigned to each element of the universe. These intervals may be interpreted as partial information where the exact membership degree is not known.
Petra Murinová +2 more
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A fuzzy clustering algorithm based on interval valued fuzzy sets
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012Due to the continuity of the thermal power plant operating data and information is incomplete; the data of the characterization of the behavioral characteristics of things is often not the exact number, but the number of interval-valued fuzzy sets of data.
Haizhou Du, Weiguo Pan
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Non-specificity and interval-valued fuzzy sets
Fuzzy Sets and Systems, 1996Abstract Non-specificity is a characteristic of interval-valued fuzzy sets. Vagueness is represented by fuzzy sets which capture the meaning representation of linguistic terms or linguistic variables. This is Type I semantic uncertainty. Combinations of two or more vague linguistic terms with vague linguistic operators generate semantic uncertainty ...
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A bipolar-valued fuzzy set is an intersected interval-valued fuzzy set
Information ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, BQ, Yiu, KFC
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Interval valued fuzzy sets and fuzzy measures
NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Wo, 2002Interval valued fuzzy set generated by fuzzy disjunctive and conjunctive normal forms are proposed to be a model of type II fuzzy sets to represent the second order semantic uncertainty realized by the combination of two or more fuzzy, vague, linguistic concepts by linguistic connectives.
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Adjoint Pairs on Interval-Valued Fuzzy Sets
2010In this paper the authors present the definition of interval operator associated to two general increasing operators, on the set of subintervals of [0,1], and how its residuated implication must be defined, if the initial operator have adjoint implications.
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An Interval-Valued Intuitionistic Fuzzy Rough Set Model
Fundamenta Informaticae, 2009Given a widespread interest in rough sets as being applied to various tasks of data analysis it is not surprising at all that we have witnessed a wave of further generalizations and algorithmic enhancements of this original concept. This paper proposes an interval-valued intuitionistic fuzzy rough model by means of integrating the classical Pawlak ...
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The interval-valued fuzzy sets based on Flou sets
2013 International Conference on Machine Learning and Cybernetics, 2013Hong-Xia Li, Kun Liu, Zeng-Tai Gong
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On Interval Valued Intuitionistic Fuzzy Sets
2019In this chapter, the basic definitions of the concepts of Interval Valued Fuzzy Sets (IVFSs) and Interval Valued Intuitionistic Fuzzy Sets (IVIFSs) will be introduced. The relation between IFSs and IVFSs will be discussed.
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