Computational Intelligence
Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis

Milad Shahvaroughi Farahani; Hamed Farrokhi-Asl; Saeed Rahimian

Volume 12, Issue 3 , September 2023, , Pages 234-272

https://doi.org/10.22105/riej.2023.361216.1336

Abstract
  Investigating stock price trends and determining future stock prices have become focal points for researchers within the finance sector. However, predicting stock price trends is a complex task due to the multitude of influencing factors. Consequently, there has been a growing interest in developing ...  Read More

An optimization model for cold chain food distribution

A. K. Garside

Volume 8, Issue 3 , September 2019, , Pages 243-253

https://doi.org/10.22105/riej.2019.202178.1097

Abstract
  Food product has a characteristic of continuous quality deterioration until the food is consumed. Cold chain distribution can improve the sustainability of the product quality but requires a more significant investment for storage facilities and vehicles as well as higher operation cost to control the ...  Read More

Fuzzy optimization
Modified Method for Solving Fully Fuzzy Linear Programming Problem with Triangular Fuzzy Numbers

S. K. Das

Volume 6, Issue 4 , December 2017, , Pages 293-311

https://doi.org/10.22105/riej.2017.101594.1024

Abstract
  The Fuzzy Linear Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc. In this paper, we proposed a modified algorithm to find the fuzzy optimal solution of fully fuzzy linear programming problems with equality ...  Read More

Data Envelopment Analysis, DEA
Investment projects ranking with DEA method considering feasibility study results

M. V. Sebt; M. N. Juybari; V. R. Soleymanfar

Volume 7, Issue 3 , November 2018, , Pages 320-335

https://doi.org/10.22105/riej.2018.147016.1058

Abstract
  According to the increasing need of industry to financiers and investors in order to incorporate and encouraging them to invest in various fields of industry, the necessity of a method to help investors for making a decision has emphasized. We present a method which tries to omit to apply personally ...  Read More

Machine Learning
Improvement in video inpainting in presence of moving subjects

A. Ghanbari Talouki; M. Majdi

Volume 8, Issue 4 , December 2019, , Pages 325-338

https://doi.org/10.22105/riej.2020.215689.1116

Abstract
  Inpainting or completion is used with the purpose of restoring damaged images and video frames. This paper proposes an applicable algorithm to inpaint corrupted subjects in video frames. To begin with, background and foreground (moving subject) are separated from each other in each frame, with the aim ...  Read More

Total quality management and quality engineering
Implementation of fuzzy rule-based algorithms in p control chart to improve the performance of statistical process control

Md. F. Rabbi; N. Chakrabarty; J. Shefa

Volume 7, Issue 4 , December 2018, , Pages 441-459

https://doi.org/10.22105/riej.2018.150727.1062

Abstract
  In the statistical process control when the process is very sensitive and control limit shifts are the prime concerns, there fuzzy control charts can be a better solution. In decision making, extra “rather in control” and “rather out of control” decisions facilitate to find out ...  Read More

Study the Impact of Customer's Profile and Participation on the Performance of Customer Relationship Management in Service Organizations

S.K. Kamali; R. Zhilakzadeh Dezfouli; M. Mardi

Volume 1, Issue 1 , June 2012, , Pages 29-41

Abstract
  CRM or customer relationship management is a continuous process consisting of creating and applying knowledge and market intelligence to establish and maintain the relationships with customers that have the most efficiency. The customer relationship management (CRM) software is an important application ...  Read More

Customer Profitability Segmentation for SMEs Case Study: Network Equipment Company

A. Mesforoush; M.J. Tarokh

Volume 2, Issue 1 , February 2013, , Pages 30-44

Abstract
  It is important to segment the most profitable customers of a company. Many CRM researchers have been performed to calculate customer profitability and develop a comprehensive model of it. This paper with the aid of data mining tools tries to customer segmentation based on kind of RFM. Customers are ...  Read More

Modeling the Quality and Reliability Dependent Customer Satisfaction in Healthcare

Sh. Hajinia Leilabadi; R. Noorossana

Volume 3, Issue 2 , May 2014, , Pages 33-45

Abstract
  The importance of Customer Satisfaction is quite evident to any business or organization mainly because it plays a vital role in any industry. But unfortunately when it comes to health care and more specifically, hospitals, clinics and health systems, enormous rate of failure related to quality and reliability ...  Read More

Application of Fuzzy Hybrid Analytic Network Process in Equipment Selection of Open-Pit Metal Mines

A. Rahimi Ghazikalayeh; M. Amirafshari; H.M. Mkrchyan; M. Taji

Volume 2, Issue 3 , September 2013, , Pages 35-46

Abstract
  Equipment selection is one of the most important aspects of open pit design. The selection of equipment for mining applications is not a well-defined process and because it involves the interaction of several subjective factors or criteria, decisions are often complicated and may even embody contradictions. ...  Read More

Robust Design of Maintenance Scheduling Considering Engineering Insurance Using Genetic Algorithm

S. Molaei; K.M. Cyrus

Volume 3, Issue 1 , May 2014, , Pages 39-48

Abstract
  Preventive maintenance is a broad term that encompasses a set of activities aimed at improving the overall reliability and availability of a system. Designers of the preventive maintenance schedules attempt to minimize the overall cost of system operation. There is no substitute for perfection in maintenance ...  Read More

Designing a Genetic Algorithm to Optimize Fulfilled Orders in Order Picking Planning Problem with Probabilistic Demand

M. Seyedrezaei; S.E. Najafi; A. Aghajani; H. Bagherzadeh Valami

Volume 1, Issue 2 , July 2012, , Pages 40-57

Abstract
  Distribution centers (DCs) play an important key role in supply chain. Delivering the right items to the right customers at the right time, at the right cost is a critical mission of the DCs. Today, customer satisfaction is an important factor for supplier companies in order to gain more profits. Optimizing ...  Read More

Total quality management and quality engineering
Assessing the awareness of local consumer’s product producers towards packaging standards in Tanzania

J. M. Nzumile; I. W. Taifa

Volume 8, Issue 1 , April 2019, , Pages 40-52

https://doi.org/10.22105/riej.2019.170766.1077

Abstract
  Packaging plays an important role in ensuring that the produced product is well contained, protected, and preserved. Due to its significance, the researcher decided to undertake research aiming at examining the awareness of local producers towards products’ packaging. This research employs a descriptive ...  Read More

Fuzzy Index Tracking Portfolio Selection Model Based on Value-at-Risk

S.A. Hosseini Imeni; A.A. Najafi

Volume 2, Issue 4 , December 2013, , Pages 41-57

Abstract
  Index tracking is one of the most important passive strategies which describes the process of attempting to track the performance of some specified benchmark indexes. Most recent studies determined security returns in conventional models by the precise historical data. However, such precise data are ...  Read More

Solving a Facility Location Problem by Three Multi-Criteria Decision Making Methods

M. Niyazi; R. Tavakkoli-Moghaddam

Volume 3, Issue 4 , December 2014, , Pages 41-56

Abstract
  Selecting the most appropriate and optimal facility location for a new organization or expansion of an existing location is an important strategic issue. The location, which results in higher economic benefits through increased productivity and good distribution network, is the best location. It is necessary ...  Read More

Machine Learning
Comparative analysis on YOLO object detection with OpenCV

H. Deshpande; A. Singh; H. Herunde

Volume 9, Issue 1 , March 2020, , Pages 46-64

https://doi.org/10.22105/riej.2020.226863.1130

Abstract
  Computer Vision is a field of study that helps to develop techniques to identify images and displays. It has various features like image recognition, object detection and image creation, etc. Object detection is used for face detection, vehicle detection, web images, and safety systems. Its algorithms ...  Read More

Six Sigma Project Selection Using Extent Fuzzy AHP: An Empirical Study

S.K. Tiwari; R.K. Singh; S.C. Srivastava

Volume 2, Issue 2 , June 2013, , Pages 47-60

Abstract
  Six sigma is a project driven approach that concentrates on reducing variations, defects and improving the quality of products, processes as well as services. The selection of right project in a six sigma program is a major concern for the early success and long term acceptance within any organization, ...  Read More

Simulation in Citizen Relationship Management

E. Teymournejad; M.J. Tarokh

Volume 1, Issue 3 , December 2012, , Pages 48-59

Abstract
  Telecommunications play an important role in providing services for citizen and through this study is been trying to use modeling and simulation system for Communications Center (solving failure process) also solving problem, speed of solving the failure, followed by optimization system and offers a ...  Read More

Optimal Design of PM Synchronous Generator for Aerial Industries Power Supply Using Cuckoo Algorithm

A. Nikbakhsh; S. A. Gholamian; S. M. Hoseini

Volume 3, Issue 3 , September 2014, , Pages 49-68

Abstract
  The Generators used in aerial industries should have the characteristics such as high efficiency, power density and reliability, low weight and volume. Among different generators, permanent magnet synchronous generator adequately satisfied these requirements. In this paper, first the dimensions and other ...  Read More

Decision analysis and methods
Failure Modes and Effects Analysis under Fuzzy Environment Using Fuzzy Axiomatic Design Approach

H. R. Seiti; A. Behnampour; D. M. Imani; M. Houshmand

Volume 6, Issue 1 , March 2017, , Pages 51-68

https://doi.org/10.22105/riej.2017.48025

Abstract
  Failure Modes and Effects Analysis (FMEA) is being widely used to detect and eliminate known and/or potential failures, problems, errors and so on from system design, process, and/or service, before they reach the customer. It can be done by calculating the risk priority number which is the product of ...  Read More

Fuzzy sets and systems
Evaluation of Factors Affecting the Productivity of RMG in Bangladesh: A Fuzzy AHP Approach

P. K. Halder; C. L. Karmarker; B. Kundu; T. Daniel

Volume 7, Issue 1 , April 2018, , Pages 51-60

https://doi.org/10.22105/riej.2017.94987.1011

Abstract
  Recently, the competitiveness and awareness of productivity have increased rapidly among different industries. Hence, the performance evaluation of the criteria affecting the productivity is needed to improve productivity and strengthen the management of the organization. In Bangladesh, Ready Made Garments ...  Read More

Systems and service modeling and simulation
Classification and Comparison of the Hybrid Collaborative Filtering Systems

F. S. Gohari; M.J. Tarokh

Volume 6, Issue 2 , June 2017, , Pages 129-148

https://doi.org/10.22105/riej.2017.49158

Abstract
  Recommender systems have become fundamental applications in overloaded information domains like e-commerce. These systems aim to provide users with suggestions about items that are likely to be of their interest. Collaborative Filtering (CF) is one of the most successful approaches in recommender systems. ...  Read More

Total quality management and quality engineering
Development of a maintenance schedule plan to improve the equipment efficiency of an industry: a case study

A. T. Shams; Md. F. Rabby; Md. N. Istiak

Volume 8, Issue 2 , June 2019, , Pages 140-157

https://doi.org/10.22105/riej.2019.174907.1082

Abstract
  The aim of this study is to implement Total Productive Maintenance (TPM) in a continuous injection molding industry. By implementing TPM, the industry can increase their Overall Equipment Effectiveness (OEE) and productivity. Before implementing TPM, overall equipment efficiency, availability rate, performance ...  Read More

Machine Learning
Modified Haar-cascade model for face detection issues

A. Singh; H. Herunde; F. Furtado

Volume 9, Issue 2 , June 2020, , Pages 143-171

https://doi.org/10.22105/riej.2020.226857.1129

Abstract
  Amid the previous three decades, the topic of image processing has gained vital name and recognition among researchers because of their frequent look in varied and widespread applications within the field of various branches of science and engineering. As an example, image processing is helpful to issues ...  Read More

Industrial Management
Cloud manufacturing: from a concept to a way for being lean

A. Hassanzadeh; S. M. Razavi; A. Mohaghar; M. Houshmand; H. Safari

Volume 7, Issue 2 , September 2018, , Pages 206-223

https://doi.org/10.22105/riej.2018.134464.1044

Abstract
  Today, a production enterprise cannot survive without using computer-based machines. Nevertheless, not all enterprises have enough money to invest in such manufacturing resources. On the other hand, handling the resource or providing appropriate platform is not easy at all. For companies, Cloud-based ...  Read More