Fuzzy-assignment Model by Using Linguistic Variables

zainb Hassan radhy; Firas Hussean  Maghool; Nagham  Kamal

doi:10.21123/bsj.2021.18.3.0539

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Publication Date

Wed Sep 01 2021

Journal Name

Baghdad Science Journal

Volume

18

Issue Number

3

DOI

10.21123/bsj.2021.18.3.0539

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Fuzzy-assignment Model by Using Linguistic Variables

Fuzzy-assignment problem

Hungarian method

Fuzzy number

Ranking of fuzzy numbers

zainb Hassan radhy

Firas Hussean Maghool

Nagham Kamal

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This work addressed the assignment problem (AP) based on fuzzy costs, where the objective, in this study, is to minimize the cost. A triangular, or trapezoidal, fuzzy numbers were assigned for each fuzzy cost. In addition, the assignment models were applied on linguistic variables which were initially converted to quantitative fuzzy data by using the Yager’sorankingi method. The paper results have showed that the quantitative date have a considerable effect when considered in fuzzy-mathematic models.

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Thu Apr 01 2021

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Journal Of Bridge Engineering

Experimental Investigation of Curved-Soffit RC Bridge Girders Strengthened in Flexure Using CFRP Composites

Khattab

Riadh

Robin

Nazar K.

Alaa

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Wed Sep 01 2021

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Computers And Concrete

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Mon May 06 2024

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Journal Of Ecological Engineering

Using Machine Learning Algorithms to Predict the Sweetness of Bananas at Different Drying Times

drying time

machine learning

prediction

sweetness

quality.

Sufyan A.

Haider Ali

Mustafa Ahmed Jalal

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The consumption of dried bananas has increased because they contain essential nutrients. In order to preserve bananas for a longer period, a drying process is carried out, which makes them a light snack that does not spoil quickly. On the other hand, machine learning algorithms can be used to predict the sweetness of dried bananas. The article aimed to study the effect of different drying times (6, 8, and 10 hours) using an air dryer on some physical and chemical characteristics of bananas, including CIE-L*a*b, water content, carbohydrates, and sweetness. Also predicting the sweetness of dried bananas based on the CIE-L*a*b ratios using machine learn- ing algorithms RF, SVM, LDA, KNN, and CART. The results showed that increasing the drying

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Publication Date

Tue Nov 08 2022

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Buildings

An Experimental Study of Granular Material Using Recycled Concrete Waste for Pavement Roadbed Construction

pavement

recycled concrete aggregate

stiffness

subbase construction

Hasan

Amjad H.

Yu

Nuha S.

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Rapid worldwide urbanization and drastic population growth have increased the demand for new road construction, which will cause a substantial amount of natural resources such as aggregates to be consumed. The use of recycled concrete aggregate could be one of the possible ways to offset the aggregate shortage problem and reduce environmental pollution. This paper reports an experimental study of unbound granular material using recycled concrete aggregate for pavement subbase construction. Five percentages of recycled concrete aggregate obtained from two different sources with an originally designed compressive strength of 20–30 MPa as well as 31–40 MPa at three particle size levels, i.e., coarse, fine, and extra fine, were test

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Sun Jan 01 2023

Journal Name

Journal Of Intelligent Systems

A study on predicting crime rates through machine learning and data mining using text

Ruaa

Husam

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Abstract<p>Crime is a threat to any nation’s security administration and jurisdiction. Therefore, crime analysis becomes increasingly important because it assigns the time and place based on the collected spatial and temporal data. However, old techniques, such as paperwork, investigative judges, and statistical analysis, are not efficient enough to predict the accurate time and location where the crime had taken place. But when machine learning and data mining methods were deployed in crime analysis, crime analysis and predication accuracy increased dramatically. In this study, various types of criminal analysis and prediction using several machine learning and data mining techniques, based o</p> ... Show More

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International Journal Of Heat And Mass Transfer

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Mon Nov 01 2021

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Energies

Solidification Enhancement in a Triple-Tube Latent Heat Energy Storage System Using Twisted Fins

Xinguo

Jasim M.

Hayder

Hasan Shaker

Wang

Pouyan

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This work evaluates the influence of combining twisted fins in a triple-tube heat exchanger utilised for latent heat thermal energy storage (LHTES) in three-dimensional numerical simulation and comparing the outcome with the cases of the straight fins and no fins. The phase change material (PCM) is in the annulus between the inner and the outer tube, these tubes include a cold fluid that flows in the counter current path, to solidify the PCM and release the heat storage energy. The performance of the unit was assessed based on the liquid fraction and temperature profiles as well as solidification and the energy storage rate. This study aims to find suitable and efficient fins number and the optimum values of the Re and the inlet tem

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Publication Date

Tue Jun 30 2020

Journal Name

Journal Of Accounting And Financial Studies ( Jafs )

Using TD-ABC technology to determine idle production capacity: An applied research in Al-Wasat Oil Company

cost based on time-oriented activity (TDABC)

idle energy

cost of energy

Al-Wasat Oil Company

دنيا مجيد

أ. د. بثينة راشد

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The aim of the research to apply TD-ABC technology to determine the idle capacity of the central oil companies (oil field east of Baghdad), as a modern cost management technology based on time-oriented activities (TD-ABC) is used by industrial companies in general and oil companies on In particular to build a sustainable Calvinist pillar and make future decisions by identifying idle energy to gain it a competitive advantage, the descriptive analytical approach has been adopted in calculating and analyzing the company’s data for 2018, and the most prominent conclusions of this research are managing idle energy and the task of applying cost technology on the basis of time-oriented activities and providing Convenient spatial infor

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Publication Date

Sat Oct 01 2022

Journal Name

Environmental Advances

Stability and performance studies of emulsion liquid membrane on pesticides removal using mixture of Fe3O4Â nanoparticles and span80

The current study investigated the impact of nonionic surfactant span 80 in the existence of Fe3O4 magnetic nanoparticles on the emulsification of mixture of kerosene as petroleum based organic solvents and corn oil as a green diluent in the ratio 1:1

HCl was used as internal phase and the stability of the emulsion was carried out. The proposed Pickering emulsion liquid membrane has been exploited to investigate it is ability in the extraction of Abamectin pesticides from aqueous solution without utilizing carrier agent. Further

the effects of experimental parameters on extraction efficiency and emulsion stability such as

homogenizer speed

emulsification speed

contact time

Fe3O4-Span 80 ratios

HCL concentration

internal to membrane volume ratio (I/O) and pH of the external feed solution were carried out. The results showed that more than 99% of Abamectin could be extracted at 10 min contact time with a minimum breakage percent of 0.52% at the optimal conditions. The kinetic of the extraction were studied and the mass transfer coefficient was found to be for external phase () of 1.2

interfacial reaction rate constant () of 5.83 and the overall mass transfer coefficient () of 3.91 . The results of recyclability of the PELM revealed that the emulsion stability and extraction efficiency was nearly unchanged after three cycles.

Ahmed A.

Noor Q.

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