Results 41 to 50 of about 131,919 (331)
On the notion of fuzzy dispersion measure and its application to triangular fuzzy numbers
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
The aim of this work is to present some aggregation operators with triangular intuitionistic fuzzy numbers and study their desirable properties. Firstly, the score function and the accuracy function of triangular intuitionistic fuzzy number are given ...
Liang Changyong +2 more
doaj +1 more source
Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots [PDF]
Mandow, A; Cantador, T.J.; Reina, A.J.; Martínez, J.L.; Morales, J.; García-Cerezo, A. "Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots," Robot2015: Second Iberian Robotics Conference, Advances in Robotics, (2016)
A Birk +15 more
core +1 more source
Dempster-Shafer evidence theory (D-S theory) is a developing theory to solve the uncertain problems and it has an important impact on many fields such as information fusion, expert systems, and machine learning.
Tianshuo Ma, Fuyuan Xiao
semanticscholar +1 more source
Stirling interpolation using triangular fuzzy number
In this paper the polynomial interpolation of triangular fuzzy number is discussed. First general form of the polynomial with fuzzy coefficients is proposed. The Stirling interpolation method is studied with triangular fuzzy number an example is provided
Thangaraj Beaula and P. Caroline Mary
semanticscholar +2 more sources
An Approach to the Total Least Squares Method for Symmetric Triangular Fuzzy Numbers
The total least squares method has a broad applicability in many fields. It is also useful in fuzzy data analysis. In this paper, we study the method of total least squares for fuzzy variables. The regression parameters are considered to be crisp. First,
Marius Giuclea, Costin-Ciprian Popescu
doaj +1 more source
Fuzzy Unconstrained Optimization Problems with Triangular Fuzzy Numbers
Abstract In this paper, we consider an unconstrained optimization problem with fuzzy valued functions. Using generalized Hukuhara differentiability of fuzzy functions in Newton’s method, we obtain an optimal solution of fuzzy unconstrained optimization problem without transforming to crisp equivalent form. Numerical examples are provided
P Umamaheswari, K Ganesan
openaire +1 more source
In this study, Fuzzy Logic models have been introduced to predict flexural strength values of cement mortars. For this purpose, reference cement mortar containing only Portland–composite cement, and mixtures having metakaolin replacing 5, 10, 15 and 20 ...
Yılmaz Koçak +2 more
doaj +1 more source
Triangular intuitionistic fuzzy number (TIFN) is a more generalized platform for expressing imprecise, incomplete, and inconsistent information when solving multi-criteria decision-making problems, as well as for expressing and reflecting the evaluation ...
Daniel O. Aikhuele, Sarah Odofin
doaj +1 more source
System Reliability Analysis Based On Weibull Distribution and Hesitant Fuzzy Set [PDF]
This work deals with the hesitant fuzzy number and averaging operator and fuzzy reliability with the help of Weibull lifetime distribution. Fuzzy reliability function and triangular hesitant fuzzy number also computed with α-cut set of the proposed ...
Akshay Kumar, Mangey Ram
doaj +1 more source

