Results 31 to 40 of about 5,704 (305)

Prediction of Flexural Strength of Portland–Composite Cement Mortars Substituting Metakaolin Using Fuzzy Logic

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2020
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

A triangular fuzzy number.

open access: yes, 2016
A triangular fuzzy number.
Ming Yang (109148)   +2 more
core   +1 more source

System Reliability Analysis Based On Weibull Distribution and Hesitant Fuzzy Set [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2018
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

Yearly Residential Electricity Forecasting Model Based on Fuzzy Regression Time Series in Indonesia

open access: yesEngineering Proceedings, 2023
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

Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers [PDF]

open access: yes, 2018
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

Fuzzy Unconstrained Optimization Problems with Triangular Fuzzy Numbers

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
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

A Generalized Triangular Intuitionistic Fuzzy Geometric Averaging Operator for Decision-Making in Engineering and Management

open access: yesInformation, 2017
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

Microgel‐Based 3D Bioprinting: A Convergent Strategy Integrating Material Design, Jamming Dynamics, and Biological Function

open access: yesAdvanced Healthcare Materials, EarlyView.
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină   +2 more
wiley   +1 more source

Fuzzy mixture inventory model with variable lead-time based on probabilistic fuzzy set and triangular fuzzy number

open access: yes, 2009
This article considers the fuzzy problems for the mixture inventory model involving variable lead-time with backorders and lost sales. `Ve first use the probabilistic fuzzy set to construct a new random variable for lead-time demand, and derive the total
Chang, H. C.; Yao, J. S.; 歐陽良裕; Ouyang, Liang-yuh
core   +1 more source

Resilient Supplier Selection Based on Fuzzy BWM and GMo-RTOPSIS under Supply Chain Environment

open access: yesDiscrete Dynamics in Nature and Society, 2019
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

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