Results 21 to 30 of about 1,714,668 (246)

Weighted triangular approximation of fuzzy numbers

open access: yesInternational Journal of Approximate Reasoning, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wenyi Zeng, Hongxing Li 0004
openaire   +1 more source

α-consensus Value of Cooperative Game with Intuitionistic Fuzzy Payment

open access: yesInternational Journal of Computational Intelligence Systems, 2020
This paper studies the α-consensus value of a cooperative game with payoffs of triangular intuitionistic fuzzy numbers and gives the formation mechanism of the α-consensus value, as well as some properties.
Jiang-Xia Nan, Jing Guan, Mao-Jun Zhang
doaj   +1 more source

Total Ordering on Generalized ‘n’ Gonal Linear Fuzzy Numbers

open access: yesInternational Journal of Computational Intelligence Systems, 2023
Zadeh introduced fuzzy sets to study imprecision in real life after which many generalizations have been developed in literature. Fuzzy numbers is the major research area of study because of its needfulness for modeling qualitative and imprecise ...
Lakshmana Gomathi Nayagam Velu   +1 more
doaj   +1 more source

A simplified new approach for solving fully fuzzy transportation problems with involving triangular fuzzy numbers [PDF]

open access: yesJournal of Fuzzy Extension and Applications, 2021
Transportation Problem (TP) is an important network structured linear programming problem that arises in several contexts and has deservedly received a great deal of attention in the literature.
Ladji Kane   +6 more
doaj   +1 more source

Comparison of triangular fuzzy numbers

open access: yesVestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2019
The concept of \textit{fuzzy set} of [\textit{L. A. Zadeh}, Inf. Control 8, 338--353 (1965; Zbl 0139.24606)] motivated the development of fuzzy real analysis. In particular, the notion of \textit{fuzzy number} was introduced and basic operations with such new structures were considered (see, e.g., [\textit{D. Dubois} and \textit{H. Prade}, in: Analysis
Ukhobotov, Viktor Ivanovich   +2 more
openaire   +3 more sources

New Similarity of Triangular Fuzzy Number and Its Application

open access: yesThe Scientific World Journal, 2014
The similarity of triangular fuzzy numbers is an important metric for application of it. There exist several approaches to measure similarity of triangular fuzzy numbers. However, some of them are opt to be large. To make the similarity well distributed,
Xixiang Zhang, Weimin Ma, Liping Chen
doaj   +1 more source

On the notion of fuzzy dispersion measure and its application to triangular fuzzy numbers

open access: yesInformation Fusion, 2023
In this paper, based on the analysis of the most widely used dispersion measure in the real context (namely, the variance), we introduce the notion of fuzzy dispersion measure associated to a finite set of data given by fuzzy numbers. This measure is implemented as a fuzzy number, so there is no loss of information caused by any defuzzification.
Antonio-Francisco Roldán-López-de-Hierro   +5 more
openaire   +4 more sources

Oriented Fuzzy Numbers vs. Fuzzy Numbers

open access: yes, 2021
A formal model of an imprecise number can be given as, inter alia, a fuzzy number or oriented fuzzy numbers. Are they formally equivalent models? Our main goal is to seek formal differences between fuzzy numbers and oriented fuzzy numbers.
Krzysztof Piasecki   +1 more
core   +1 more source

Multiple fuzzy reasoning approach to fuzzy mathematical programming problems [PDF]

open access: yes, 1991
We suggest solving fuzzy mathematical programming problems via the use of multiple fuzzy reasoning techniques. We show that our approach gives Buckley’s solution [1] to possibilistic mathematical programs when the inequality relations are understood ...
Fullér, Róbert
core   +2 more sources

Fuzzy Autoregressive Time Series Model Based on Symmetry Triangular Fuzzy Numbers [PDF]

open access: yes, 2021
The symmetry triangular fuzzy number has been developed to build fuzzy autoregressive models by using various approaches such as low-high data, integer number, measurement error, and standard deviation data.
Suhartono, Suhartono   +6 more
core   +1 more source

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