Towards an Efficient Network Selection Technique Based on Differentiated Weight of Access Interface

2012 ◽  
Vol 8 (4) ◽  
pp. 32-48 ◽  
Author(s):  
Mohamed Lahby ◽  
Leghris Cherkaoui ◽  
Abdellah Adib
Keyword(s):  
Analytic Network Process ◽  
Network Selection ◽  
Selection Technique ◽  
Relational Analysis ◽  
Network Process ◽  
Selection Decision ◽  
Multi Attribute Decision Making ◽  
Simulation Results ◽  
A New Technique ◽  
Grey Relational

In this work, the authors have proposed a new technique for network selection decision. This technique combines two multi attribute decision making (MADM) methods. The analytic network process (ANP) method to find the differentiate weights of available networks by considering each criterion and the grey relational analysis (GRA) method to rank the alternatives. To show the effectiveness of our technique we have presented the simulation results of four traffic classes namely background, conversational, interactive and streaming.

Prioritizing technical requirements in QFD by integrating grey relational analysis method and analytic network process approach

2015 ◽  
Vol 5 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Chuanmin Mi ◽  
Weiguo Xia
Keyword(s):  
Grey Relational Analysis ◽  
Quality Function Deployment ◽  
Manufacturing Industry ◽  
Analytic Network Process ◽  
Design Stage ◽  
Content Type ◽  
Relational Analysis ◽  
Technical Requirements ◽  
Network Process ◽  
Grey Relational

Purpose – No matter in product design stage or product quality improvement stage, the product technical requirements (PTRs) impacting on product performance are mainly identified and improved to optimize customer needs (CNs) as greatly as possible. The purpose of this paper is to use a new approach to accurately and properly prioritize PTRs in Quality Function Deployment (QFD). Design/methodology/approach – Considering the relationship between CNs and PTRs in QFD hard to quantitatively measure and lack of adequate information, the grey relational analysis (GRA) is applied. Besides, owing to the inherent inner dependencies of CNs as well as QFD, the analytic network process (ANP) which is an effective tool to take into account the inner dependencies with network is utilized. Finally, an integrated framework based on GRA method and ANP approach is proposed to determine the importance degrees of PTRs in designing a product. Findings – The calculation results of the application show that the proposed framework by integrating GRA and ANP is able to determine the importance degrees of PTRs in design a product well. Practical implications – In the application part the authors can see the proposed framework can be applied to PVC window systems. Owing to that traditional QFD method has been widely used in many fields such as manufacturing industry and service industry, actually the proposed framework has great potential application in the real word. Originality/value – This paper succeeds in proposing a new framework by integrating GRA and ANP to determine the importance degrees of PTRs in QFD.

scholarly journals Systems Evaluation through New Grey Relational Analysis Approach: An Application on Thermal Conductivity—Petrophysical Parameters’ Relationships

Processes ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 348 ◽  
Author(s):  
Saad Javed ◽  
Aqib Khan ◽  
Wenjie Dong ◽  
Adil Raza ◽  
Sifeng Liu
Keyword(s):  
Thermal Conductivity ◽  
Grey Relational Analysis ◽  
Uncertain Systems ◽  
Healthcare Systems ◽  
Natural Sciences ◽  
Insufficient Data ◽  
Petrophysical Parameters ◽  
Relational Analysis ◽  
A New Technique ◽  
Grey Relational

The current study introduces a new technique for the analysis of uncertain systems and uncertain processes in geothermics/earth sciences. The method is the second synthetic grey relational analysis (SSGRA) model, which incorporated the advantages of both Deng’s GRA model and the bidirectional absolute GRA model. The SSGRA model has been earlier successfully applied in project management and healthcare systems. The current study is a pioneer in demonstrating the feasibility of the SSGRA model in a geothermal environment. In the current study, the model was used to determine the associations between thermal conductivity and petrophysical parameters in an Algerian reservoir. The results revealed that thermal conductivity is most strongly associated with porosity followed by density and permeability. Their relationships are also discussed. The study concludes with valuable insights about the model and its application in engineering and natural sciences especially when the system contains uncertainty, which may arise either due to insufficient data or uncertain relationships among the parameters associated with the system or its processes.

Integrating Grey Relational Analysis with Combination Weighting for Selecting Bearing Material

2012 ◽  
Vol 535-537 ◽  
pp. 2495-2498
Author(s):  
An Hua Peng
Keyword(s):  
Grey Relational Analysis ◽  
Material Selection ◽  
Important Application ◽  
Maximum Deviation ◽  
Bearing Material ◽  
Relational Analysis ◽  
Design And Manufacturing ◽  
Multi Attribute Decision Making ◽  
Grey Relational ◽  
Manufacturing Problems

Abstract: Material selection is a very important issue for design and manufacturing problems. The general grey relational analysis (GRA) has two weaknesses, namely, the weight determination depends only on expert judgments, and the qualitative indexes are simply quantified with exact number. In this paper, Combination weights are determined by combining subjective and objective weights based on maximum deviation. The qualitative indexes are fuzzy quantified through trapezoidal fuzzy number (TFN). The method is applied to the bearing material selection, and results show that the method make multi-attribute decision making more reasonable, so as to have important application value.

A New Method of Multi-Attribute Decision-Making Based on Grey Relational Analysis with Time Series

2013 ◽  
Vol 444-445 ◽  
pp. 666-670
Author(s):  
Yi Zhang
Keyword(s):  
Decision Making ◽  
Time Series ◽  
Grey Relational Analysis ◽  
Uncertain Information ◽  
Decision Method ◽  
Rational Decision Making ◽  
Relational Analysis ◽  
Multi Attribute Decision Making ◽  
Subjective Views ◽  
Grey Relational

For the multi-attribute decision making with time series, based on the comprehensive consideration of various indicators of quality and growth degree, with grey relational analysis on less data, uncertain information can be integrated comparison, so we put forward a new decision method considering the decision maker subjective views, and provide a scientific and rational decision-making method. By the example, that method is viable.

scholarly journals DECISION SUPPORT SYSTEM FOR SMARTPHONE RECOMMENDATION: THE COMPARISON OF FUZZY AHP AND FUZZY ANP IN MULTI-ATTRIBUTE DECISION MAKING

SINERGI ◽  
2020 ◽  
Vol 25 (1) ◽  
pp. 101
Author(s):  
Okfalisa Okfalisa ◽  
Hidayati Rusnedy ◽  
Dwi Utari Iswavigra ◽  
B. Pranggono ◽  
Elin Haerani Haerani ◽  
...  
Keyword(s):  
Decision Making ◽  
Execution Time ◽  
Fuzzy Ahp ◽  
Random Access ◽  
Analytic Network Process ◽  
Application Development ◽  
Fuzzy Anp ◽  
Expert Opinions ◽  
Network Process ◽  
Multi Attribute Decision Making

Previous researches outlined the advantages of the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods in solving Multi-Attribute Decision Making (MADM) problems. The advancement of the above methods was continually developed as an effort to cover up various weaknesses. Mainly related to the consistency and linguistic variables in translating the expert opinions. Thus, it initialized the emergence of Fuzzy AHP (F-AHP) and Fuzzy ANP (F-ANP). Due to the restricted operation of these algorithms in smartphone selection, this research attempted to investigate the effectiveness of both methods in providing the analysis of criteria weight, the final recommendation weight, the product recommendation weight, and the execution time in DSS-SmartPhoneRec application development. A survey of one hundred respondents of University students identified the dominant criteria in selecting the smartphone, namely price, Random Access Memory (RAM), processor, internal memory, and camera. Hence, five alternative products were then chosen as the appropriate smartphones’ recommendations based on the respondent’s preferences.  As an automatic tool, a DSS-SmartPhoneRec application was built to analyze and compare between F-AHP and F-ANP methods in resolving the smartphone selection cases. It revealed that the level of consistency of criteria weight, the final weight of recommendation, and the weight that the product-based F-ANP was 40% greater than F-AHP. In terms of execution time, F-AHP had a shorter time than F-ANP. Meanwhile, the comparison of products recommendation from DSS-SmartPhoneRec and a manual test showed that F-ANP was 16% more in line with the respondents’ predilection. In a nutshell, the DSS-SmartPhoneRec administered the devote smartphone recommendations based on the user’s expectation. The comparison analysis furnished a learning outcome for the users in determining the appropriate MADM method tailored to the type of cases.

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