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Applied Mathematics
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Applied Mathematics
ISSN Print:
2152-7385
ISSN Online:
2152-7393
www.scirp.org/journal/am
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am@scirp.org
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"
Fuzzy Least-Squares Linear Regression Approach to Ascertain Stochastic Demand in the Vehicle Routing Problem
"
written by
Fatemeh Torfi, Reza Zanjirani Farahani, Iraj Mahdavi
,
published by
Applied Mathematics
,
Vol.2 No.1, 2011
has been cited by the following article(s):
Google Scholar
CrossRef
[1]
Least Square Method with Quasi Linearly Interactive Fuzzy Data: Fitting an HIV Dataset
2019
[2]
Somatório de números fuzzy interativos com aplicações em ajuste de curvas
2019
[3]
Least Squares Method with Interactive Fuzzy Coefficient: Application on Longitudinal Data
2018
[4]
The Economic Growth & Environmental Degradation Nexus in Algeria Using the Fuzzy Logic
2018
[5]
FORMING A CORRELATION AMONG THE PROPERTIES OF FRESH SELF-COMPACTING CONCRETE USING FUZZY LEAST SQUARES MODEL
E-GFOS
,
2016
[6]
Оценивание средних и ковариаций нечетко-случайных величин
2016
[7]
Модел одлучивања органа саобраћајне службе у задацима стратегијског транспорта
2016
[8]
Fuzzy MCDM for weight of object's phrase in Location Routing Problem
Applied Mathematical Modelling
,
2015
[9]
A Hybrid Ant Colony System for Partially Dynamic Vehicle Routing Problem
American Journal of Operational Research
,
2012
[1]
Fuzzy Techniques: Theory and Applications
Advances in Intelligent Systems and Computing
,
2019
DOI:
10.1007/978-3-030-21920-8_17
[2]
Fuzzy Information Processing
Communications in Computer and Information Science
,
2018
DOI:
10.1007/978-3-319-95312-0_12
[3]
Fuzzy MCDM for weight of object’s phrase in location routing problem
Applied Mathematical Modelling
,
2016
DOI:
10.1016/j.apm.2015.06.001
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