Results 51 to 60 of about 131,919 (331)
Yearly Residential Electricity Forecasting Model Based on Fuzzy Regression Time Series in Indonesia
Triangular fuzzy numbers (TFNs) are used to express the weights of criteria and alternatives to account for the ambiguity and uncertainty inherent to subjective evaluations.
Riswan Efendi +7 more
doaj +1 more source
Exchange rate forecasting is important to represent the expectation of exchange rates future values. The forecasting task is due to the economic factor and the historical data used to forecast are exposed to uncertainty and observational error during ...
Hamijah Mohd Rahman +3 more
semanticscholar +1 more source
Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers [PDF]
A pivotal difference between Artificial Neural Networks and Fuzzy Cognitive Maps (FCMs) is that the latter allow modeling a physical system in terms of concepts and causal relations, thus equipping the network with interpretability features. However, such components are normally described by quantitative terms, which may be difficult to handle by ...
Mabel Frias Dominguez +5 more
openaire +2 more sources
Aggregation of triangular fuzzy neutrosophic set information and its application to multi-attribute decision making [PDF]
This paper is devoted to propose triangular fuzzy number neutrosophic sets by combining triangular fuzzy numbers with single valued neutrosophic set and define some of its operational rules.
Pranab Biswas +2 more
doaj
Resilient Supplier Selection Based on Fuzzy BWM and GMo-RTOPSIS under Supply Chain Environment
Resilient suppliers can reduce supply chain risk, effectively avoid supply chain disruption, and bring profits to enterprises. However, there is no united measuring index system to evaluate the resilient supplier under supply chain environment, and the ...
Jiawu Gan +3 more
doaj +1 more source
Construction of symmetry triangular fuzzy number procedure (STFNP) using statistical information for autoregressive forecasting [PDF]
Single-point data are used for data collection. However, data collected by various data collection methods are often exposed to uncertainties that may affect the information presented by the quantitative results.
Che Lah, Muhammad Shukri
core
Fuzzy Cubic Spline Interpolation with Triangular Fuzzy Numbers
In applied mathematics, the salient and engrossing aspect is how to best approximate a function in a given space. In this paper a cubic spline polynomial approximation as best approximations of fuzzy function on a discrete set of points. In this work a novel approach is adopted to show this method using Triangular fuzzy numbers.
A. Karpagam*, V. Vijayalakshmi
openaire +1 more source
Triply‐twinned architected lattices transform deformation from bending to stretching of struts, delivering up to threefold increases in stiffness and strength across polymeric and metallic systems. High‐resolution synchrotron XCT and image‐based simulations reveal how meta‐grain architecture, defects, and AM build orientation govern failure pathways ...
David McArthur +7 more
wiley +1 more source
Similarity Measures of Sequence of Fuzzy Numbers and Fuzzy Risk Analysis
We present the methods to evaluate the similarity measures between sequence of triangular fuzzy numbers for making contributions to fuzzy risk analysis.
Zarife Zararsız
doaj +1 more source
Graphic Representation of a Dimensional Expansion of Triangular Fuzzy Number
We calculate Zadeh’s max-min composition operators for two 3-dimensional triangular fuzzy numbers. We prove that if the 3-dimensional result is limited to 2 dimensions, it is the same as the 2-dimensional result, which is shown as a graph.
Yong Sik Yun
doaj +1 more source

