Results 21 to 30 of about 975,479 (295)

Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status

open access: yesIlkom Jurnal Ilmiah, 2022
The representation of the fuzzy set membership curve consisting of trapezoidal, triangular, and linear shapes, has an important role in the fuzzy logic system. The selection of the curve's shapes determines the useable membership function and affects the
Ummi Syafiqoh   +2 more
doaj   +1 more source

Similarity Measure: An Intuitionistic Fuzzy Rough Set Approach [PDF]

open access: yesTransactions on Fuzzy Sets and Systems, 2023
‎In fuzzy set theory‎, ‎the concept of a non-membership function and the hesitation margin were not considered while these two concepts have been included along with the membership function for intuitionistic fuzzy sets‎. ‎It is also to be noted that the
Jaydip Bhattacharya
doaj   +1 more source

Two Identification Methods for a Nonlinear Membership Function

open access: yesComplexity, 2021
This paper proposes two parameter identification methods for a nonlinear membership function. An equation converted method is introduced to turn the nonlinear function into a concise model.
Yuejiang Ji, Lixin Lv
doaj   +1 more source

Clustering Algorithm Based on Data indeterminacy in Neutrosophic Set [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
Clustering research is an important field in machine learning, pattern recognition and other fields. The neutrosophic set characterizes the data through true membership functions, indeterminate membership functions and false membership functions.
Dan Zhang   +4 more
doaj   +1 more source

Learning fuzzy inference systems using an adaptive membership function scheme [PDF]

open access: yes, 1996
An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial ...
Lotfi, A, Tsoi, AC
core   +1 more source

Two new results about quantum exact learning [PDF]

open access: yes, 2020
We present two new results about exact learning by quantum computers. First, we show how to exactly learn a $k$-Fourier-sparse $n$-bit Boolean function from $O(k^{1.5}(\log k)^2)$ uniform quantum examples for that function.
Arunachalam, Srinivasan   +4 more
core   +2 more sources

(α, β, γ)-Equalities of single valued neutrosophic sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2018
The single valued neutrosophic set (SVNS) is a subclass of neutrosophic set, which can describe and handle indeterminate information and inconsistent information. Since a SVNS is characterized independently by three functions: a truth-membership function,
Songsong Dai
doaj   +1 more source

Translative and Multiplicative Interpretation of Neutrosophic Cubic Set [PDF]

open access: yesNeutrosophic Sets and Systems, 2020
In this paper, we introduce the idea of neutrosophic cubic translation (NCT) and neutrosophic cubic multiplication (NCM) and provide entirely new type of conditions for neutrosophic cubic translation and neutrosophic cubic multiplication on BF-algebra.
MOHSIN KHALID   +3 more
doaj   +1 more source

Hypertrapezoidal fuzzy membership functions [PDF]

open access: yesProceedings of IEEE 5th International Fuzzy Systems, 2002
The authors present a method for representing N-dimensional fuzzy membership functions. The proposed method is a generalization of the one-dimensional trapezoidal membership function commonly used in fuzzy systems. The issue of correlation between input variables and a decrease in the rule base size is the motivation for extending the definition of ...
Painter, John H., Kelly, W. E. III
openaire   +2 more sources

Fuzzy-rough membership functions [PDF]

open access: yesSMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002
This paper generalizes the concepts of rough membership functions in pattern classification tasks to fuzzy-rough membership functions. Unlike the rough membership value of a pattern, which is sensitive only towards the rough uncertainty associated with the pattern, the fuzzy-rough membership value of the pattern signifies the rough uncertainty as well ...
M. Sarkar, B. Yegnanarayana
openaire   +1 more source

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