Results 11 to 20 of about 238,470 (203)

Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets [PDF]

open access: yes2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013
Similarity measures provide one of the core tools that enable reasoning about fuzzy sets. While many types of similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few similarity measures that enable the comparison of general type-2 fuzzy sets.
McCulloch, Josie   +2 more
core   +9 more sources

Type-2 fuzzy sets made simple

open access: yesIEEE Transactions on Fuzzy Systems, 2002
Type-2 fuzzy sets let us model and minimize the effects of uncertainties in rule-base fuzzy logic systems. However, they are difficult to understand for a variety of reasons which we enunciate. In this paper, we strive to overcome the difficulties by: (1) establishing a small set of terms that let us easily communicate about type-2 fuzzy sets and also ...
J.M. Mendel, R.I.B. John
openaire   +3 more sources

About t-norms on type-2 fuzzy sets [PDF]

open access: yesProceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
Walker et al. defined two families of binary operations on M (set of functions of [0,1] in [0,1]), and they determined that, under certain conditions, those operations are t-norms (triangular norm) or t-conorms on L (all the normal and convex functions of M).
Hernández Varela, Pablo Ramón   +2 more
openaire   +5 more sources

The new fuzzy analytical hierarchy process with interval type-2 trapezoidal fuzzy sets and its application [PDF]

open access: yes, 2021
The degree of type-1 fuzzy sets membership function cannot express the linguistic variable of a complex problem. The type-2 fuzzy sets as a problem solver such that more fuzziness for constructing membership functions can be handled. Recently, many multi-
Dasrila, Yosza   +2 more
core   +1 more source

Interval type‑2 fuzzy aggregation operator in decision making and its application [PDF]

open access: yes, 2021
Type-2 fuzzy sets (T2FSs) can deal with higher modeling and uncertainties which exist in the real-world application, specifically in the control systems.
Broumi, Said   +3 more
core   +1 more source

Development of a multi-period multi-attribute group decision-making method using type- 2 fuzzy set of linguistic variables [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2021
Recently, fuzzy linguistic variables have gained a great deal of attention from researchers in many decision-making problems. In this problems, type-2 fuzzy sets have been used to better cover linguistic data uncertainty.
Ali Dehghani Filabadi   +1 more
doaj   +1 more source

Review of Recent Type-2 Fuzzy Image Processing Applications

open access: yesInformation, 2017
This paper presents a literature review of applications using type-2 fuzzy systems in the area of image processing. Over the last years, there has been a significant increase in research on higher-order forms of fuzzy logic; in particular, the use of ...
Oscar Castillo   +3 more
doaj   +1 more source

On Nash Equilibria in a Finite Game for Fuzzy Sets of Strategies

open access: yesMathematics, 2023
The present paper investigates a finite game with fuzzy sets of player strategies. It is proven that Nash equilibria constitute a type-2 fuzzy set defined on the universal set of strategy profiles.
Svajone Bekesiene, Serhii Mashchenko
doaj   +1 more source

New Order on Type 2 Fuzzy Numbers

open access: yesAxioms, 2017
Since Lotfi A. Zadeh introduced the concept of fuzzy sets in 1965, many authors have devoted their efforts to the study of these new sets, both from a theoretical and applied point of view. Fuzzy sets were later extended in order to get more adequate and
Pablo Hernández   +3 more
doaj   +1 more source

Join and Meet Operations for Type-2 Fuzzy Sets With Nonconvex Secondary Memberships [PDF]

open access: yes, 2015
In this paper, we will present two theorems for the join and meet operations for general type-2 fuzzy sets with arbitrary secondary memberships, which can be nonconvex and/or nonnormal type-1 fuzzy sets.
Bustince, H   +4 more
core   +2 more sources

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