Results 21 to 30 of about 14,285 (222)

A New Distance Measure for Trapezoidal Fuzzy Numbers [PDF]

open access: yesMathematical Problems in Engineering, 2013
We propose a new distance measure for the space of all trapezoidal fuzzy numbers using centroid point and left/right spread of trapezoidal fuzzy numbers. Moreover, the metric properties of suggested distance measure are investigated. Indeed, we show that for two arbitrary trapezoidal fuzzy numbers if the distance between centroid points and also the ...
M. J. Ebadi   +5 more
openaire   +1 more source

Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets [PDF]

open access: yes, 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 ...
Christian Wagner   +4 more
core   +4 more sources

The Interval-Valued Trapezoidal Approximation of Interval-Valued Fuzzy Numbers and Its Application in Fuzzy Risk Analysis

open access: yesJournal of Applied Mathematics, 2014
Taking into account that interval-valued fuzzy numbers can provide more flexibility to represent the imprecise information and interval-valued trapezoidal fuzzy numbers are widely used in practice, this paper devotes to seek an approximation operator ...
Zengtai Gong, Shexiang Hai
doaj   +1 more source

Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation

open access: yesEnergies, 2021
Studying and analyzing the challenges that the renewable energy sector faces can help evaluate the risks and improve the planning. This research is done by considering the challenges in the implementation of sustainable generation of electricity through ...
Shabbiruddin   +5 more
doaj   +1 more source

Project scheduling under uncertainty using fuzzy modelling and solving techniques [PDF]

open access: yes, 2013
In the real world, projects are subject to numerous uncertainties at different levels of planning. Fuzzy project scheduling is one of the approaches that deal with uncertainties in project scheduling problem.
Haït, Alain, Masmoudi, Malek
core   +1 more source

A new distance measure for trapezoidal fuzzy neutrosophic numbers based on the centroids [PDF]

open access: yesNeutrosophic Sets and Systems, 2020
Distance measure is a numerical measurement of the distance between any two objects. The aim of this paper is to propose a new distance measure for trapezoidal fuzzy neutrosophic numbers based on the centroids with graphical representation. In addition,
Broumi said   +6 more
doaj   +1 more source

Fuzzy rule based multiwavelet ECG signal denoising [PDF]

open access: yes, 2008
Since different multiwavelets, pre- and post-filters have different impulse responses and frequency responses, different multiwavelets, pre- and post-filters should be selected and applied at different noise levels for signal denoising if signals are ...
Chan, Yick-Po   +5 more
core   +1 more source

Trapezoidal operator preserving the expected interval and the support of fuzzy numbers

open access: yesJournal of Numerical Analysis and Approximation Theory, 2011
The problem to find the trapezoidal fuzzy number which preserves the expected interval and the support of a given fuzzy number is discussed. Properties of this new trapezoidal approximation operator are studied.
Adriana Brândaş
doaj   +2 more sources

Trapezoidal Linguistic Cubic Fuzzy TOPSIS Method and Application in a Group Decision Making Program

open access: yesJournal of Intelligent Systems, 2019
The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzzy number and Hamming distance. Furthermore, we define and use the trapezoidal linguistic cubic fuzzy TOPSIS method to solve the multi criteria decision ...
Fahmi Aliya   +4 more
doaj   +1 more source

Different distance measures for fuzzy linear regression with Monte Carlo methods [PDF]

open access: yes, 2016
The aim of this study was to determine the best distance measure for estimating the fuzzy linear regression model parameters with Monte Carlo (MC) methods.
Cattaneo, Marco E.G.V., İçen, Duygu
core   +2 more sources

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