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Type 2 Fuzzy Sets: An Appraisal of Theory and Applications

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998
This paper provides a guide and tutorial to type 2 fuzzy sets. Type 2 fuzzy sets allow for linguistic grades of membership thus assisting in knowledge representation. They also offer improvement on inferencing with type 1 sets. The various approaches to knowledge representation and inferencing are discussed, with worked examples, and some of the ...
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On Virtues of Many-Valued (Fuzzy) Type Theories

2010
In this paper, we deal with the fuzzy type theory (FTT) — a higher-order fuzzy logic. There are several kinds of this logic depending on the chosen structure of truth values. Higher-order (fuzzy) logic is still not fully appreciated despite its high explicative power. Our goal is to point out several great virtues of it to convince the reader that this
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Literature review on type-2 fuzzy set theory

Soft Computing, 2022
Arnab Kumar De   +2 more
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Type-2 Fuzzy Logic: Theory and Applications

2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
Oscar Castillo   +3 more
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First Steps Towards Harnessing Partial Functions in Fuzzy Type Theory

2018
In this paper we present how the theory of partial functions can be developed in the fuzzy type theory and show how the theory elaborated by Lapierre [3] and Lepage [4] can be included in it. Namely, the latter is developed as a special theory whose models contain the partial functions in the sense introduced by both authors.
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Interval Type-3 Fuzzy Systems: Theory and Design

2022
Oscar Castillo   +2 more
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Types of fuzzy graph colouring and polynomial ideal theory

International Journal of Advanced Intelligence Paradigms, 2018
Arindam Dey, Anita Pal
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An Interval Type-3 Fuzzy System and a New Online Fractional-Order Learning Algorithm: Theory and Practice

IEEE Transactions on Fuzzy Systems, 2020
Ardashir Mohammadzadeh   +2 more
exaly  

A Regret-Based Three-Way Decision Model Under Interval Type-2 Fuzzy Environment

IEEE Transactions on Fuzzy Systems, 2022
Tianxing Wang, Huaxiong Li, Yuhua Qian
exaly  

Fundamentals of Type-1 Fuzzy Logic Theory

2016
Erdal Kayacan, Mojtaba Ahmadieh Khanesar
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