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Toplam kayıt 22, listelenen: 11-20
Overlapping clusters algorithm in ad hoc networks
(IEEE, 2010)
Clustering allows efficient data routing and multi-hop communication among the nodes. In this paper, we propose Overlapping Clusters Algorithm (OCA) for mobile ad hoc networks. The goal of OCA is to achieve network reliability ...
A SWARA-VAHP and FCM Based Model Proposal for MCIC (extended abstract)
(2022)
ABC analysis is an efficient and easy-to-use methodology to classify inventory based on a single or multi-criteria basis that may consist of thousands of items. The evolution of the subject is now focused on multiple ...
Simulation based optimization for world line card production system
(IJOCTA, 2012)
Simulation based decision support system is one of the most commonly used tools to examine complex production systems. The simulation approach provides process modules which can be adjusted with certain parameters by using ...
Investigation of Breaking Points in the Airline Industry with Airline Optimization Studies Through Text Mining before the COVID-19 Pandemic
(Sage Publications Inc., 2021)
In this study, current literature in the field of airline optimization has been examined by the text mining method to understand trends and commercial threats in the airline industry. Prominent types of work and popular ...
Single machine scheduling problems under position-dependent fuzzy learning effect with fuzzy processing times
(Elsevier Science, 2017)
In this paper, we consider single machine scheduling problems under position-dependent fuzzy learning effect with fuzzy processing times. We study three objectives which are to minimize makespan, total completion time and ...
A new approach to prediction of SO2 and PM10 concentrations in Istanbul, Turkey: Cellular Neural Network (CNN)
(Taylor & Francis, 2011)
This article describes the application of a cellular neural network (CNN) to model air pollutants. In this study, forthcoming daily and hourly values of particulate matter (PM10) and sulphur dioxide (SO2) were predicted. ...
Application of cellular neural network (CNN) to the prediction of missing air pollutant data
(Elsevier, 2011)
For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to equipment failure or during equipment calibration. In this paper, we ...
An analytic hierarchy process approach with a novel framework for luxury car selection
(Elsevier, 2012)
The luxury car industry is one of the world's fastest growing sectors in many years. Each improvement on a car has a strategic meaning for our daily life and makes more competition in the strategic management. It is important ...
Challenges in Inventory Management and a Proposed Framework
(Theory and Research in Engineering, 2020)
In today’s economy, efficient inventory management is vital for all companies. Business environment, which is considered as volatile, uncertain, complex, and ambiguous (VUCA), big savings can be achieved with efficient ...
A two level interval valued neutrosophic AHP integrated TOPSIS methodology for post-earthquake fire risk assessment: An application for Istanbul
(Elsevier Ltd, 2021)
Earthquakes are the leading natural disasters that seriously affect human life. Furthermore, earthquakes are natural disasters that have the ability to trigger a second disaster in addition to the damages they cause. From ...